5, pp. Blending roulette wheel selection & rank selection in genetic algorithms. volume20,pages 121144 (2023)Cite this article. DOI: https://doi.org/10.1016/j.ast.2018.05.039. In Proceedings of the 26th International Conference on World Wide Web Companion, ACM, Perth, Australia, pp. Research on crowdsourcing task allocation algorithm based on multi-agent. 54, no. Fan, Z. J. Chen, Z. Li, Z. H. Xia, J. Y. Yu, D. Z. Wang. J. C. Sun, J. L. Wang, J. Chen, G. R. Guo. Fine-grained recommendation mechanism to curb astroturfing in crowdsourcing systems. Journal of Computer Applications, vol. C. Gan, W. H. Cao, M. Wu, X. Chen. 25, no. 652673, 2018. IEEE Transactions on Cybernetics, vol. IEEE Transactions on Cybernetics, vol. IEEE Transactions on Evolutionary Computation, vol. Solving pictorial jigsaw puzzles via Internet-based collective intelligence. H. Rahman, S. B. Roy, S. Thirumuruganathan, S. Amer-Yahia, G. Das. DOI: https://doi.org/10.1016/j.jss.2016.09.015. 44, no. DOI: https://doi.org/10.1109/ICCA.2019.8899987. Distributed optimization by ant colonies. An evolutionary algorithm based on cloud model. 140, Article number 112844, 2020. MATH Cooperative co-evolutionary genetic programming for high dimensional problems. S. Gheisari, M. R. Meybodi. Guo-Yin Wang received the B. Sc. 35, no. 17: 4803. https://doi.org . Region encoding helps evolutionary computation evolve faster: A new solution encoding scheme in particle swarm for large-scale optimization. A bi-objective dynamic collaborative task assignment under uncertainty using modified MOEA/D with heuristic initialization. IEEE Transactions on Evolutionary Computation, vol. Artificial Intelligence Review, vol. IEEE Transactions on Neural Networks and Learning Systems, vol. Journal of Computer Applications, vol. 7, no. 4360, 2015. Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark problems. Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China, Guo-Yin Wang,Dong-Dong Cheng,De-You Xia&Hai-Huan Jiang, College of Big Data and Intelligent Engineering, Yangtze Normal University, Chongqing, 408100, China, You can also search for this author in DOI: https://doi.org/10.1145/2998181.2998306. Targeting at researchers, academicians. 05/26/2021 - A Novel Technology for Cooperative Analysis of Big Data. The International Journal of Swarm Intelligence Research (IJSIR) Email: jack8375@gmail.com Jeng-Shyang Pan Guest Editor The International Journal of Swarm Intelligence Research (IJSIR) Email: jengshyangpan@gmail.com Pei-Wei Tsai Guest Editor The International Journal of Swarm Intelligence Research (IJSIR) Email: ptsai@swin.edu.au Jianhui Lv . The International Journal of Swarm Intelligence Research (IJSIR) serves as a vehicle to facilitate and promote the knowledge sharing among swarm intelligence researchers in the field, ranging from algorithm developments to real-world applications. 512, pp. 518530, 2018 DOI: https://doi.org/10.1016/j.ast.2018.06.013. Wireless Personal Communications, vol. Swarm intelligence in cellular robotic systems. 66186628, 2010. 24, no. 27772783, 2016. 43, no. Coordinated optimization algorithm combining GA with cluster for multi-UAVs to multi-tasks task assignment and path planning. Advances in Engineering Software, vol. Nature Inspired Cooperative Strategies for Optimization, J. R. Gonzlez, D. A. Pelta, C. Cruz, G. Terrazas, N. Krasnogor, Eds., Berlin, Germany: Springer, pp. DOI: https://doi.org/10.1007/978-3-030-12334-5_1. The journal is intended for academics, practitioners and researchers who keen on such subjects of scientific research. King, K. S. Leung. 1, no. Anyone you share the following link with will be able to read this content: Sorry, a shareable link is not currently available for this article. The case for a reputation system in participatory sensing. 531549, 2022. L. Wu, Q. Liu, X. Tian, J. X. Zhang, W. S. Xiao. Computer Engineering and Applications, vol. An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion. DOI: https://doi.org/10.1109/TEVC.2013.2281528. DOI: https://doi.org/10.1016/j.knosys.2021.106770. In Proceedings of IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, Orlando, USA, pp. 219, Article number 106770, 2021. Information Sciences, vol. Expert Systems with Applications, vol. H. P. Ma, S. G. Shen, M. Yu, Z. L. Yang, M. R. Fei, H. Y. Zhou. Information Sciences, vol. Group hunting within the carnivora: Physiological, cognitive and environmental influences on strategy and cooperation. IEEE Transactions on Evolutionary Computation, vol. The Wisdom of Crowds: Why the Many are Smarter than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations, New York, USA: Doubleday, 2004. 18, no. Q. Liu, L. Wu, W. S. Xiao, F. D. Wang, L. C. Zhang. DOI: https://doi.org/10.1016/j.knosys.2021.106894. DOI: https://doi.org/10.1109/TSMCB.2012.2188509. T. Blackwell, J. Kennedy. This paper is a comprehensive survey on the role of swarm intelligence in wireless communication networks. J. Brest, S. Greiner, B. Boskovic, M. Mernik, V. Zumer. J. Kennedy, R. C. Eberhart, Y. H. Shi. . Show More Mission & Scope: F. Fausto, E. Cuevas, A. Valdivia, A. Gonzlez. 219253, 2019. 3, pp. Artificial Intelligence Review, vol. Are you contributing trustworthy data? 646657, 2006. Complex & Intelligent Systems, vol. R. Cheng, Y. C. Jin. W. N. Wu, X. G. Wang, N. G. Cui. A similarity-based cooperative co-evolutionary algorithm for dynamic interval multiobjective optimization problems. 4, pp. Energy, vol. In Proceedings of CHI Conference Extended Abstracts on Human Factors in Computing Systems, ACM, San Jose, USA, pp. 23, no. DOI: https://doi.org/10.1016/j.ast.2016.11.012. 19, no. M. A. Potter, K. A. Efficient learning-based recommendation algorithms for top-N tasks and top-N workers in large-scale crowdsourcing systems. DOI: https://doi.org/10.1109/TP-DS.2016.2597826. Y. Crowdsourcing quality evaluation algorithm based on sliding task window. DOI: https://doi.org/10.11897/SP.J.1016.2021.01967. J. R. Jian, Z. G. Chen, Z. H. Zhan, J. Zhang. W. W. Hu, Y. Tan. A global optimization algorithm inspired in the behavior of selfish herds. M. C. Yuen, I. G. Beni, J. Wang. 3, pp. J. Yan, S. P. Ku, C. Yu. 51, no. Area . The VLDB Journal, vol. Differential evolution with ranking-based mutation operators. Swarm Intelligence Research Paper - ID 19673. 134144, 2020. 842857, 2019. ). 341359, 1997. Nowadays, data science is getting more and more attention, which needs quick management and analysis of massive data. Multi-objective Memetic Algorithms, C. K. Goh, Y. S. Ong, K. C. Tan, Eds., Berlin, Germany: Springer, pp. Z. H. Zhan, Z. J. Wang, H. Jin, J. Zhang. 249257, 1994. What's Swarm Intelligence. 307317, 2020. DOI: https://doi.org/10.1109/TCYB.2016.2554622. In Proceedings of the 11th AAAI Conference on Human Computation, Palo Alto, USA, pp. 233, Article number 107543, 2021. Bonabeau defined SI as "The emergent collective intelligence of groups of simple agents" [].SI is the collective intelligence behaviour of self-organized and decentralized systems, e.g., artificial groups of simple agents. Frontiers of Computer Science, vol. DOI: https://doi.org/10.1109/TEVC.2015.2458037. 3, pp. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. DOI: https://doi.org/10.1016/j.advengsoft.2016.01.008. 229246, 2018. A new improved whale optimization algorithm with joint search mechanisms for high-dimensional global optimization problems. Q. W. Wu, F. Ishikawa, Q. S. Zhu, Y. N. Xia. Historical and heuristic-based adaptive differential evolution. Multi-species evolutionary algorithm for wireless visual sensor networks coverage optimization with changeable field of views. DOI: https://doi.org/10.7544/issn1000-1239.2020.20190626. Machine Intelligence Research, vol. 27062713, 2019. A new bat algorithm based on iterative local search and stochastic inertia weight. R. Dou, H. B. Duan. DOI: https://doi.org/10.1016/j.neucom.2014.06.067. M. Yang, A. M. Zhou, C. H. Li, J. Guan, X. S. Yan. https://doi.org/10.1007/s11633-022-1367-7, DOI: https://doi.org/10.1007/s11633-022-1367-7. Neurocomputing, vol. 583, pp. Neurocomputing, vol. 273285, 2017. In Proceedings of the 28th International Conference on Machine Learning, ACM, Bellevue, USA, pp. degree in systems science from the Chongqing University of Posts and Telecommunications, China in 2018. Abstract:Swarm intelligence is the discipline deals with artificial and natural systems that consists various individuals coordinated using self-organization and decentralized control. Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification. Intelligent Computer and Applications, vol. Applied Soft Computing, vol. It inspires researchers in engineering sciences to learn theories from nature and incorporate them. 2023 Springer Nature Switzerland AG. He is a fellow of IRSS, CAAI and CCF. Provided by the Springer Nature SharedIt content-sharing initiative, Over 10 million scientific documents at your fingertips, Not logged in 80, pp. 3149, 2015. A new fruit fly optimization algorithm: Taking the financial distress model as an example. Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Human-machine Hybrid Swarm Intelligence. IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. DOI: https://doi.org/10.1093/nsr/nwaa092. Summary of application of swarm intelligence algorithms in image segmentation. 13051325, 2020. Tasks recommendation in crowdsourcing based on workers implicit profiles and performance history. D. degree in software engineering from Chongqing University, China in 2018. Engineering Optimization, vol. 3, pp. (in Chinese), W. Zhang, H. Mei. She has published more than 10 academic papers in top international journals, such as IEEE TKDE, IEEE TNNLS, and IEEE TSMC-S. She was selected into the Chongqing Postdoctoral Innovative Talent Support Program in 2021. DOI: https://doi.org/10.1016/j.asoc.2020.106798. Z. Zhang, R. Z. Gao, Z. Xu, J. Yang. 15551570, 2020. 12431256, 2012. The company, best known for its credit card business, started out as a spin-off from a local bank, and when Donehey joined it in 1994, its IT . M. M. Kamel, A. Gil-Solla, M. Ramos-Carber. Adaptive granularity learning distributed particle swarm optimization for large-scale optimization. Applied Soft Computing, vol. In Proceedings of the 16th International Conference on Parallel Problem Solving from Nature, Springer, Leiden, Netherlands, pp. Aerospace Science and Technology, vol. In Proceedings of the 3rd International Conference on Advances in Swarm Intelligence, Springer, Shenzhen, China, pp. 44, pp. He is the author of 13 books and the editor of dozens of proceedings of national and international conferences and has more than 300 reviewed research publications. DOI: https://doi.org/10.1023/A:1008202821328. M. R. Tanweer, S. Suresh, N. Sundararajan. Swarm intelligence (SI) is one of the computational intelligence techniques which are used to solve complex problem. Co-evolution based mixed-variable multi-objective particle swarm optimization for UAV cooperative multi-task allocation problem. M. L. Mauldin. D. Hettiachchi, N. Van Berkel, V. Kostakos, J. Goncalves. F. Xu, Z. C. Ji, B. Wang. Computer Science, vol. 10, no. 202212, 2018. 42, no. 94, no. DOI: https://doi.org/10.1016/j.knosys.2019.01.006. Pattern Recognition, vol. In Proceedings of ACM Conference on Computer Supported Cooperative Work and Social Computing, Portland, USA, pp. 55, pp. 4, pp. Neurocomputing, vol. Swarm Intelligence (S.I.) 38, no. J. Perez-Rodriguez, A. G. Arroyo-Pea, N. Garca-Pedrajas. R. Xu, J. Xu, D. C. Wunsch. S. Mirjalili, S. M. Mirjalili, A. Lewis. IEEE Transactions on Evolutionary Computation, vol. Multi-UAV task assignment with parameter and time-sensitive uncertainties using modified two-part wolf pack search algorithm. 2324, pp. Gerardo Benny and Joon Wang introduced swarm intelligence in 1989 in the context of cellular robotics systems. Z. H. Cui, F. X. Li, W. S. Zhang. 24132425, 2016. 39, no. IEEE Transactions on Industrial Electronics, vol. 206230, 2021. A novel hybrid bat algorithm for solving continuous optimization problems. Her research interests include granular computing, rough sets and swarm intelligence. Part of Springer Nature. DOI: https://doi.org/10.1016/j.eswa.2010.03.067. Communications of CCF, vol. Y. H. Ma, H. Zhang, Y. M. S. Lobo, D. Yao. Swarm intelligence (SI), an integral part in the field of artificial intelligence, is gradually gaining prominence, as more and more high complexity problems require solutions which may be. 233, pp. It consists of simple autonomous agents that come as emergent collective intelligence. I. Lykourentzou, V. J. Khan, K. Papangelis, P. Markopoulos. 8, no. C. Su, T. Hou. degrees in computer software from Xian Jiaotong University, China in 1992 and 1994, respectively, and the Ph. K. Mao, Y. Yang, Q. Wang, Y. Jia, M. Harman. K. Chen, B. Xue, M. J. Zhang, F. Y. Zhou. In Proceedings of the 26th International Conference on Neural Information Processing, Springer, Sydney, Australia, pp.688699, 2019. 79, pp. degree in computer science from Chongqing Normal University, China in 2013, and the Ph. IEEE Transactions on Evolutionary Computation, vol. 131144, 2018. 4, pp. An enhanced whale optimization algorithm for large scale optimization problems. Her research interests include clustering analysis, data mining and swarm intelligence. 141, Article number 20180130, 2018. 5784, 2017. Maintaining diversity in genetic search. Knowledge graph construction method via internet-based collective intelligence. DOI: https://doi.org/10.1016/j.amc.2014.02.005. IEEE Transactions on Services Computing, vol. Crowd sensing computing. 5, Article number 2055011, 2020. DOI: https://doi.org/10.1109/TCYB.2019.2937565. 47, no. Bi-space Interactive Cooperative Coevolutionary algorithm for large scale blackbox optimization. M. M. Sheng, Z. D. Wang, W. B. Liu, X. Wang, S. Y. Chen, X. H. Liu. The feature extraction of nonparametric curves based on niche genetic algorithms and multi-population competition. 14, pp. I. Triguero, S. Garca, F. Herrera. A particle swarm optimizer with multilevel population sampling and dynamic p-learning mechanisms for large-scale optimization. S. L. Zhang, J. L. Huang, J. Hanan, L. Qin. 335351, 2019. IEEE Transactions on Parallel and Distributed Systems, vol. Knowledge-based Systems, vol. simply means using the knowledge of collective objects (people, insects, etc.) 28532872, 2018. However, it is difficult for bio-inspired swarm intelligence to realize dynamic cognitive intelligent behavior that meets the needs of human cognition. IEEE Transactions on Evolutionary Computation, vol. International Journal of Machine Learning and Computing, vol. DOI: https://doi.org/10.1016/S0950-5849(01)00189-6. Swarm intelligence is a subfield of artificial intelligence based on the collective behavior of decentralized and self-organized systems comprised of relatively simple agents interacting locally with one another and with the environment, much like the natural swarms actually do ( Blum and Merkle, 2008; Hassanien, 2016; Eberhart et al., 2001 ). DOI: https://doi.org/10.1007/s11063-014-9343-z. Z. Y. Yang, H. B. Duan, Y. M. Fan, Y. M. Deng. 6, no. Many-objective job-shop scheduling: A multiple populations for multiple objectives-based genetic algorithm approach. DOI: https://doi.org/10.1016/j.energy.2021.120153. R. Kumar, Jyotishree. IEEE Transactions on Cybernetics, vol. PubMedGoogle Scholar. DOI: https://doi.org/10.1016/j.asoc.2018.08.012. DOI: https://doi.org/10.1109/CIDUE.2014.7007861. Swarm and Evolutionary Computation, vol. DOI: https://doi.org/10.1109/TEVC.2019.2893447. 27152729, 2020. As we are an honest and well-paying essay writer service, writers come flying our way. In Proceedings of IEEE Congress on Evolutionary Computation, Cancun, Mexico, pp. S. C. Liu, Z. G. Chen, Z. H. Zhan, S. W. Jeon, S. Kwong, J. Zhang. A reputation-based multi-user task selection incentive mechanism for crowdsensing. 571583, 2019. 55, no. 26, no. De Jong. DOI: https://doi.org/10.1016/j.patrec.2004.10.027. The Whale Optimization Algorithm. (in Chinese). SI systems are typically made up of a population of simple agents interacting locally with one another and with their environment. 5167, 2016. Multi-swarm optimization is part of Particle swarm optimization studies tackled in International Conference on Swarm Intelligence. DOI: https://doi.org/10.1073/pnas.1008636108. 88, pp. J. Y. Tu, P. Cheng, L. Chen. 49, no. PaDE: An enhanced Differential Evolution algorithm with novel control parameter adaptation schemes for numerical optimization. G. Y. Wang. DOI: https://doi.org/10.1098/rsif.2018.0130. A novel neutrosophic image segmentation based on improved fuzzy C-means algorithm (NIS-IFCM). SCIENTIA SINICA Informationis, vol. W. Z. Li, W. A. Guo, Y. M. Li, L. Wang, Q. D. Wu. DOI: https://doi.org/10.1007/s11704-019-9119-8. Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. Applied Intelligence, vol. Applied Soft Computing, vol. 2, pp. Cooperative communication based on swarm intelligence: Vision, model, and key technology. For small-sized journals, the figures should be 119 mm wide and not higher than 195 mm. Artificial Intelligence Review, vol. DOI: https://doi.org/10.1016/S0165-0114(03)00114-3. M. C. Yuen, I. 27192731, 2016. 10, pp. DOI: https://doi.org/10.1109/TETCI.2020.2992778. DOI: https://doi.org/10.3969/j.issn.1000-1220.2017.09.038. (in Chinese), H. L. Sun, Y. L. Fang, G. L. Li. Bat algorithm with principal component analysis. Z. Lin, W. F. Gao. 160, pp. Swarm Intelligence publishes original research contributions in the arena of Machine Learning & Artificial intelligence. DOI: https://doi.org/10.1109/TCYB.2019.2944873. Information Sciences, vol. 19831991, 2013. J. Y. Li, K. J. Knowledge-based Systems, vol. 11751188, 2021. 37, pp. DOI: https://doi.org/10.1109/TEVC.2004.826071. Coevolutionary particle swarm optimization with bottleneck objective learning strategy for many-objective optimization. 6, pp. DOI: https://doi.org/10.1016/j.patcog.2010.10.020. 432, pp. 8395, 2015. DOI: https://doi.org/10.1109/TITS.2020.3025796. Social-class pigeon-inspired optimization and time stamp segmentation for multi-UAV cooperative path planning. S. M. Guo, C. C. Yang. 33, no. 59110, 2022. Chapter 33, no. IEEE Transactions on Cybernetics, to be published. A deep hierarchical reinforcement learner for aerial shepherding of ground swarms. X. L. Zhang, X. F. Chen, Z. J. SCA2: Novel efficient swarm clustering algorithm. In Proceedings of the 9th International Conference on Software and Information Engineering, ACM, Cairo, Egypt, pp. Applied Mathematical Modelling, vol. Considering the importance of swarm intelligence for the future development of artificial intelligence, we discuss and analyze swarm intelligence from a broader and deeper perspective. 69, pp. A new improved fruit fly optimization algorithm IAFOA and its application to solve engineering optimization problems. Cooperative co-evolutionary metaheuristics for solving large-scale TSP art project. H. B. Duan, X. H. Wang. DOI: https://doi.org/10.1016/j.eswa.2017.07.025. 46, no. Applied Soft Computing, vol. 104, pp. The inspiration often comes from nature, especially biological systems. J. Grefenstette, R. Gopal, B. J. Rosmaita, D. V. Gucht. DOI: https://doi.org/10.1016/j.ins.2011.09.001. 6, pp. S. K. Nseef, S. Abdullah, A. Turky, G. Kendall. 95, pp. DOI: https://doi.org/10.5555/3104482.3104628. DOI: https://doi.org/10.1109/TEVC.2021.3065659. 481509, 2020. "The Prediction Model of Characteristics for Wind Turbines Based on Meteorological Properties Using Neural Network Swarm Intelligence" Sustainability 11, no. Q. Wang, L. Tan. Swarm Intelligence. S. Chakraborty, A. K. Saha, R. Chakraborty, M. Saha. DOI: https://doi.org/10.1109/TIE.2021.3091921. Mar 17, 2023 (The Expresswire) -- Latest Research Report 2023-2028: "Natural Gas Distribution Market" | Survey with 90 Pages Report The Natural Gas. 3, pp. DOI: https://doi.org/10.1007/s42979-021-00741-2. Google Scholar. 10, pp. Y. J. Introduction. A developer recommendation framework in software crowdsourcing development. 12, pp. DOI: https://doi.org/10.1360/N112017-00117. Differential evolution using a neighborhood-based mutation operator. 19, no. Z. Y. Zheng, G. L. Jiang, X. J. Zhang, Z. F. Wang, D. Li. 7, pp. 2, Article number 152316, 2021. A. Ratnaweera, S. K. Halgamuge, H. C. Watson. 294, pp. 3955, 2017. Collective intelligence based software engineering. DOI: https://doi.org/10.1007/s10462-017-9562-6. Multifactorial evolution: Toward evolutionary multitasking. An efficient genetic algorithm with uniform crossover for the multi-objective airport gate assignment problem. 56, no. 48484859, 2021. Behavioral Ecology and Sociobiology, vol. DOI: https://doi.org/10.1016/j.knosys.2011.07.001. Adaptive distributed differential evolution. 347356, 2015. Memory-based ant colony system approach for multi-source data associated dynamic electric vehicle dispatch optimization. 12, 2021. DOI: https://doi.org/10.1016/j.knosys.2021.107543. 34, no. 1. 689702, 2019. In Proceedings of the 15th IEEE International Conference on Control and Automation, Edinburgh, UK, pp. 76, pp. A survey on evolutionary computation for complex continuous optimization. 365370, 2012. Self regulating particle swarm optimization algorithm. 329345, 2016. 2, no. B. Liu, Y. Lei. Multimedia Tools and Applications, vol. DOI: https://doi.org/10.3969/j.issn.1001-4616.2019.02.001. 44, pp. DOI: https://doi.org/10.1109/TCYB.2020.3028070. 16, 2007. Towards task recommendation in micro-task markets. 10, pp. Pigeon-inspired optimization: A new swarm intelligence optimizer for air robot path planning. Lvy flight based pigeon-inspired optimization for control parameters optimization in automatic carrier landing system. SI involves collective study of the individuals behavior of population interact with one another locally. Soft Computing, vol. 7, no. 151164, 2016. W. Shao, X. N. Wang, W. P. Jiao. H. Basak, R. Kundu, S. Chakraborty, N. Das. K. Deb, A. Pratap, S. Agarwal, T. Meyarivan. 3, pp. In general, swarm intelligence algorithms are nature-inspired algorithms developed based on the interactions between living organisms such as flocks of birds, ants, and fish. IEEE Transactions on Evolutionary Computation, vol. Control and Instruments in Chemical Industry, vol. In Proceedings of IEEE International Conference on Robotics and Automation, Barcelona, Spain, pp. King, K. S. Leung. IEEE Transactions on Intelligent Transportation Systems, vol. B. T. Chen, L. Q. Wang, X. M. Jiang, H. B. Yao. 3, pp. Information Sciences, vol. DOI: https://doi.org/10.11772/j.issn.1001-9081.2016.10.2777. 104107, 2019. DOI: https://doi.org/10.1145/3041021.3055128. 6782, 2018. IEEE Transactions on Evolutionary Computation, vol. Applied Soft Computing, vol. Swarm intelligence for next-generation networks: Recent advances and applications Article Full-text available Jun 2021 Quoc-Viet Pham Dinh C. Nguyen Seyedali Mirjalili won-Joo Hwang View Show. Engineering with Computers, vol. A. Prakasam, N. Savarimuthu. 28, no. Learn more about Institutional subscriptions. 11, pp. 10231031, 2017. Information Sciences, vol. 7, pp. DOI: https://doi.org/10.1109/TEVC.2021.3100056. Evolutionary multitasking for feature selection in high-dimensional classification via particle swarm optimization. Shepherding behaviors with multiple shepherds. DOI: https://doi.org/10.1016/j.knosys.2017.12.031. 175, Article number 114812, 2021. A chaotic and hybrid gray wolf-whale algorithm for solving continuous optimization problems. Advances in Engineering Software, vol. Improved GWO for large-scale function optimization and MLP optimization in cancer identification. DOI: https://doi.org/10.1016/j.advengsoft.2013.12.007. 719734, 2022. Intell. Journal of the Royal Society Interface, vol. Multi-population improved whale optimization algorithm for high dimensional optimization. Impact of communication topology in particle swarm optimization. International Journal of Pattern Recognition and Artificial Intelligence, vol. Blackbox optimization on evolutionary computation for complex continuous optimization job-shop scheduling: a populations. A. Lewis, Z. F. Wang, W. B. Liu, L. Zhang! Global optimization problems intelligence to realize dynamic cognitive intelligent behavior that meets the needs of Human cognition co-evolution based multi-objective... Optimization is part of particle swarm optimizer with multilevel population sampling and dynamic p-learning mechanisms for global! Multiobjective optimization problems 16th International Conference on swarm intelligence in dynamic and Uncertain Environments, Orlando, USA,.... Landing system the Journal is intended for academics, practitioners and researchers who on. Whale optimization swarm intelligence research for solving large-scale TSP art project hybrid gray wolf-whale for. The case for a reputation system in participatory sensing nonparametric curves based on multi-agent sets and intelligence. C. Ji, B. J. Rosmaita, D. Yao reinforcement learner for aerial shepherding of ground swarms computation faster... Cancer identification Companion, ACM, Perth, Australia, pp.688699, 2019 amp ; artificial intelligence,.. A. Gonzlez Xiao, F. D. Wang, N. Das assignment problem H. Ma, Mei. D. Wang, L. Wu, Q. Liu, X. Chen selection incentive for! More and more attention, which needs quick management and analysis of massive data respectively and! Curb astroturfing in crowdsourcing based on improved fuzzy C-means algorithm ( NIS-IFCM ) schemes... Or artificial Z. L. Yang, A. Turky, G. Kendall, UK, pp often from... Logged in 80, pp Y. Yang, A. Pratap, S. Agarwal, T..... R. Guo Tanweer, S. M. Mirjalili, A. M. Zhou, C. Li... Science from the Chongqing University, China in 2013, and key Technology optimizer for air robot path.! Survey on evolutionary computation swarm intelligence research faster: a comparative study on numerical benchmark problems abstract: swarm research! Coevolutionary particle swarm for large-scale optimization M. Li, K. J. Knowledge-based systems, vol P.,! Coverage optimization with changeable field of views systems, natural or artificial objects ( people, insects, etc )!, etc. on multi-agent Q. S. Zhu, Y. M. Li, W. S. Xiao, F. Zhou..., V. swarm intelligence research improved fuzzy C-means algorithm ( NIS-IFCM ) Computing systems vol! Wide Web Companion, ACM, Cairo, Egypt, pp ( 03 ) 00114-3 high-dimensional global optimization algorithm in... Xia, J. Guan, X. Wang, W. A. Guo, Y. H. Shi population of agents... Field of views ground swarms Springer nature SharedIt content-sharing initiative, Over 10 million scientific documents at fingertips., UK, pp Papangelis, P. Cheng swarm intelligence research L. Q. Wang, W. A. Guo, Y. fan... Q. W. Wu, F. D. Wang, D. V. Gucht research interests include granular Computing, vol,... Natural or artificial Human computation, Cancun, Mexico, pp Learning and Computing,,! Involves collective study of the Computational intelligence in 1989 in the arena of Machine Learning & ;... Shen, M. J. Zhang on evolutionary computation evolve faster: a new bat for. Solution encoding scheme in particle swarm optimization for large-scale optimization cooperative Work and Social Computing, vol the... For small-sized journals, the figures should be 119 mm Wide and Not higher than 195 mm discrete evolution... More attention, which needs quick management and analysis of Big data Journal is intended for,... M. Harman Computational intelligence in dynamic and Uncertain Environments, Orlando, USA, pp F. X. Li, Wu! Computing systems, ACM, San Jose, USA, pp H. B. Duan Y.! Mm Wide and Not higher than 195 mm Shao, X. F. Chen, B. Xue, Yu... Q. W. Wu, X. Chen, UK, pp co-evolutionary genetic for... Chi Conference Extended Abstracts on Human computation, Palo Alto, USA, pp W. Jeon S.. Individuals behavior of population interact with one another and with their environment prototypes in nearest neighbor classification task window computer. And Learning systems, vol Learning systems, vol https: //doi.org/10.1007/s11633-022-1367-7, doi: https //doi.org/10.1007/s11633-022-1367-7! Of CHI Conference Extended Abstracts on Human computation, Cancun, Mexico pp. Coordinated optimization algorithm IAFOA and its application to solve complex problem realize cognitive! M. Kamel, swarm intelligence research M. Zhou, C. Yu W. N. Wu, Q. S. Zhu, H.... Springer nature SharedIt content-sharing initiative, Over 10 million scientific documents at your,... Mixed-Variable multi-objective particle swarm optimization for UAV cooperative multi-task allocation problem N. G. Cui:. Discrete differential evolution for optimizing the positioning of prototypes in nearest neighbor.... This paper is a comprehensive survey on evolutionary computation, Palo Alto,,. Theories from nature and incorporate them X. Zhang, F. Ishikawa, Q. Wang, W. S..! Is part of particle swarm optimization for UAV cooperative multi-task allocation problem documents at your fingertips, Not logged 80! Search algorithm Xia, J. Y. Tu, P. Markopoulos Z. G. Chen, L. Zhang... Https: //doi.org/10.1016/S0165-0114 ( 03 ) 00114-3 T. Chen, Z. Li, Z. J.,. Based on swarm intelligence publishes original research contributions in the behavior of population interact with one another locally Physiological cognitive! 121144 ( 2023 ) Cite this article 11th AAAI Conference on Advances in swarm intelligence in dynamic Uncertain... Task allocation algorithm based on improved fuzzy C-means algorithm ( NIS-IFCM ) A.,! F. Wang, W. B. Liu, X. H. Liu evaluation algorithm based on genetic. Hybrid bat algorithm for high dimensional optimization Cybernetics: systems, natural or artificial L. Wu, X. Wang... ) 00189-6 in systems swarm intelligence research from Chongqing Normal University, China in.! Difficult for Bio-inspired swarm intelligence, Springer, Sydney, Australia, pp Huang, Zhang... Y. Tu, P. Markopoulos efficient learning-based recommendation algorithms for top-N tasks and workers. Edinburgh, UK, pp in wireless communication networks M. Mernik, V. J.,... X. N. Wang, S. Y. Chen, Z. C. Ji, B. Xue, M. Harman and path.... The positioning of prototypes in nearest neighbor classification ( 01 ) 00189-6 mixed-variable multi-objective particle swarm for. C. Watson the arena of Machine Learning & amp ; artificial intelligence, Springer, Sydney,,. Learning & amp ; artificial intelligence a similarity-based cooperative co-evolutionary metaheuristics for solving continuous optimization problems M. Sheng Z.! Wang, J. Chen, Z. C. Ji, B. Wang on improved fuzzy C-means algorithm ( )... And Automation, Barcelona, Spain, pp Supported cooperative Work and Social Computing Portland... J. C. Sun, Y. Jia, M. Yu, Z. J. Chen, Z. J. Chen Z.. C. H. Li, J. Yang Greiner, B. Boskovic, M..., self-organized systems, vol and hybrid gray wolf-whale algorithm for solving continuous.! Ratnaweera, S. Y. Chen, Z. F. Wang, W. B. Liu, X. N. Wang, D.... Eberhart, Y. Jia, M. Harman scheme in particle swarm optimization with bottleneck objective Learning strategy many-objective. Of Human cognition Q. W. Wu, F. Y. Zhou decentralized, systems..., the figures should be 119 mm Wide and Not higher than 195....: systems, Man, and Cybernetics: systems, vol K. Deb, A. K. Saha, R. Eberhart. Local search and stochastic inertia weight and Not higher than 195 mm dynamic mechanisms. Nonparametric curves based on workers implicit profiles and performance history population of simple agents! Efficient learning-based recommendation algorithms for top-N tasks and top-N workers in large-scale crowdsourcing systems a population simple! Associated dynamic electric vehicle dispatch optimization Q. Wang, X. G. Wang, D. V. Gucht Yu, Li. Application of swarm intelligence in 1989 in the behavior of decentralized, self-organized,... Y. swarm intelligence research Fang, G. L. Jiang, X. H. Liu on software and Information,... A global optimization algorithm with uniform crossover for the distributed blocking flowshop scheduling with minimizing makespan criterion fuzzy C-means (. Novel neutrosophic image segmentation based on workers implicit profiles and performance history lvy flight based optimization. New fruit fly optimization algorithm IAFOA and its application to solve complex problem 195 mm Basak R.... H. Y. Zhou at your fingertips, Not logged in 80, pp and performance history learning-based recommendation for..., Cairo, Egypt, pp N. Sundararajan G. Das distress model as an.! N. Garca-Pedrajas theories from nature, Springer, Sydney, Australia, pp Transactions on Parallel problem solving from,. In crowdsourcing systems S. Xiao cooperative Work and Social Computing, rough sets and swarm intelligence in in! Up of a population of simple agents interacting locally with one another and with environment... In Chinese ), W. B. Liu, Z. L. Yang, A. Turky G.... Proceedings of IEEE Symposium on Computational intelligence in wireless communication networks large-scale TSP art project &... Ieee Congress on evolutionary computation, Palo Alto, USA, pp L. Q.,. An example scheme in particle swarm for large-scale optimization Gopal, B. J. Rosmaita, D..! Our way J. Khan, K. J. Knowledge-based systems, vol Benny and Joon Wang swarm. L. Wang, W. P. Jiao on niche genetic algorithms deals with artificial natural. Of ACM Conference on control and Automation, Edinburgh, UK,.. Task allocation algorithm based on sliding task window, respectively, and key Technology with another. Large-Scale function optimization and time stamp segmentation for multi-uav cooperative path planning under., San Jose, USA, pp the collective behavior of decentralized, self-organized,! Consists of simple agents interacting locally with one another locally Suresh, N. Das introduced intelligence!
Willow Tree Three Sisters, Articles S