2, pp. Google Scholar. Q. 3, pp. 4, pp. IEEE Transactions on Evolutionary Computation, vol. Multi-species evolutionary algorithm for wireless visual sensor networks coverage optimization with changeable field of views. 3, pp. W. Z. Li, W. A. Guo, Y. M. Li, L. Wang, Q. D. Wu. DOI: https://doi.org/10.1016/j.ins.2011.09.001. 70, pp. DOI: https://doi.org/10.1145/3436829.3436834. 141, Article number 113449, 2021. 421441, 2019. Multi-UAV task assignment with parameter and time-sensitive uncertainties using modified two-part wolf pack search algorithm. 343355, 2017. 3, pp. Z. M. Shi, D. W. Gong, X. J. Yao, M. Y. Yang. 160168, 1985. 24132425, 2016. 2437, 2014. In Proceedings of the 3rd International Conference on Advances in Swarm Intelligence, Springer, Shenzhen, China, pp. HZ2021008). Distributed onboard mission planning for multi-satellite systems. M. L. Mauldin. Pigeon-inspired optimization: A new swarm intelligence optimizer for air robot path planning. Song. DOI: https://doi.org/10.1016/j.apm.2017.10.001. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. IEEE Transactions on Evolutionary Computation, vol. Y. H. Ma, H. Zhang, Y. DOI: https://doi.org/10.16804/j.cnki.issn1006-3242.2017.03.017. 17371745, 2022. 6, pp. 4, pp. 12, no. Semantic-based automatic service composition with functional and non-functional requirements in design time: A genetic algorithm approach. As a new journal in the field of evolutionary computation, IJSIR has built its reputation from its first two years of existence. A. P. Lin, W. Sun, H. S. Yu, G. H. Wu, H. W. Tang. B. Li, H. S. Deng, J. Wang. 23, no. 1, pp. CEPT: Collaborative editing tool for non-native authors. together and then reaching the optimized solution for a given problem. DOI: https://doi.org/10.1109/TCYB.2021.3102642. 8, pp. It emphasizes research on Robot, which includes concerns such as Swarm robotics. Solving pictorial jigsaw puzzles via Internet-based collective intelligence. M. Harman, B. F. Jones. J. Y. Li, Z. H. Zhan, J. Zhang. Summary of application of swarm intelligence algorithms in image segmentation. DOI: https://doi.org/10.1109/TEVC.2019.2912204. 347356, 2015. 329, pp. R. Xu, J. Xu, D. C. Wunsch. X. Zhang, Z. H. Zhan, W. Fang, P. J. Qian, J. Zhang. 141, Article number 20180130, 2018. A. 18, no. IEEE Transactions on Cybernetics, vol. H. P. Ma, S. G. Shen, M. Yu, Z. L. Yang, M. R. Fei, H. Y. Zhou. 24, no. Hai-Huan Jiang received the M. Sc. DOI: https://doi.org/10.1007/s11432-018-9752-9. Swarm Intelligence, San Francisco, USA: Morgan Kaufmann Publishers, pp. 48624875, 2020. 10, pp. In Proceedings of CHI Conference Extended Abstracts on Human Factors in Computing Systems, ACM, San Jose, USA, pp. Multi-objective Task Recommendation Method Based on Different Task Characteristics for Crowdsourcing, Master dissertation, School of Mathematics, China University of Mining and Technology, China, 2019. Decision Support Systems, vol. Advances in Engineering Software, vol. Q. Q. X. M. Zhang, X. Wang, H. Y. Chen, D. D. Wang, Z. H. Fu. 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. 901916, 2011. 393401, 2017. W. Y. Gong, Z. H. Cai. MATH 51, no. Shepherding behaviors with multiple shepherds. 41984203, 2020. 6974, 2012. Grey wolf optimizer. Y. X. Shen, G. Y. Wang, C. H. Zeng. Article 704716, 2017. 11, pp. 94, no. Aerospace Control, vol. DOI: https://doi.org/10.1109/TCYB.2019.2937565. 8, pp. A meta-knowledge tranfeer-based differential evolution for multitask optimization. 34023407, 2005. Swarm Intelligence draws on up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots. 432, pp. Jim Donehey, when he was CIO of Capital One, tried it. Information Sciences, vol. Cooperative co-evolutionary metaheuristics for solving large-scale TSP art project. 2, pp. Artificial Intelligence Review, vol. 153173, 2018. The VLDB Journal, vol. 44, pp. B. Kao, A. M. Berdahl, A. T. Hartnett, M. J. Lutz, J. 523537, 2020. 916, 2014. Applied Soft Computing, vol. He. A comparison study of validity indices on swarm-intelligence-based clustering. 5155, 2020. In Proceedings of the 11th AAAI Conference on Human Computation, Palo Alto, USA, pp. Maintaining diversity in genetic search. 14, no. 18, no. DOI: https://doi.org/10.1145/2442657.2442661. IEEE Transactions on Cybernetics, vol. DOI: https://doi.org/10.1109/TIE.2021.3091921. The International Journal of Swarm Intelligence Research (IJSIR) serves as a forum for facilitating and enhancing the information sharing among swarm intelligence researchers in the field, ranging from algorithm developments to real-world applications. DOI: https://doi.org/10.1109/TITS.2020.3025796. Particle swarm optimization. DOI: https://doi.org/10.1007/978-3-642-30976-2_50. W. W. Hu, Y. Tan. Evolutionary multitasking for feature selection in high-dimensional classification via particle swarm optimization. 603622, 2019. DOI: https://doi.org/10.1109/SOSE.2015.46. Multi-objective optimization based on an adaptive competitive swarm optimizer. DOI: https://doi.org/10.1109/4235.996017. CCFR2: A more efficient cooperative co-evolutionary framework for large-scale global optimization. was introduced by Gerardo Beni and Jing Wang in the year 1989. Abstract:Swarm intelligence is the discipline deals with artificial and natural systems that consists various individuals coordinated using self-organization and decentralized control. Neurocomputing, vol. King, K. S. Leung. M. C. Yuen, I. 39, no. W. N. Chen, Y. H. Jia, F. Zhao, X. N. Luo, X. D. Jia, J. Zhang. DOI: https://doi.org/10.1007/978-3-540-88051-6_4. CQBX2021024), and the Project of Chongqing Municipal Education Commission, China (No. 49, no. Progress in Artificial Intelligence, vol. 589, pp. Following a similar principle - called "swarm learning" - an international research team has trained artificial intelligence algorithms to detect blood cancer . DOI: https://doi.org/10.1109/TP-DS.2016.2597826. M. Yang, A. M. Zhou, C. H. Li, J. Guan, X. S. Yan. DOI: https://doi.org/10.1016/j.knosys.2021.106770. 134144, 2020. Dong-Dong Cheng received the B. Sc. 6, pp. Article An evolutionary algorithm based on cloud model. Self regulating particle swarm optimization algorithm. 131144, 2018. IEEE Transactions on Cybernetics, to be published. DOI: https://doi.org/10.1109/TEVC.2013.2297160. D. degree in computer organization and system structure from Xian Jiaotong University, China in 1996. DOI: https://doi.org/10.1016/j.advengsoft.2013.12.007. IEEE Transactions on Cybernetics, vol. H. Basak, R. Kundu, S. Chakraborty, N. Das. Applied Mathematics and Computation, vol. Reputation model of crowdsourcing workers based on active degree. IEEE Transactions on Evolutionary Computation, vol. An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion. Book J. Kennedy, R. Eberhart. Active learning from crowds. "Swarm" means a group of objects (people, insects, etc. In the research of multi-robot systems, multi-AUV (multiple autonomous underwater vehicles) cooperative target hunting is a hot issue. Targeting at researchers, academicians. Efficient learning-based recommendation algorithms for top-N tasks and top-N workers in large-scale crowdsourcing systems. S. M. Guo, C. C. Yang. IEEE Transactions on Neural Networks and Learning Systems, vol. 134, pp. Research Scholar, Department of Electronics and Instrumentation Engineering, Annamalai University, Chidambaram, Tamilnadu, India, Email-jayasrivijayaraj@gmail.com . Effective resource allocation in cooperative co-evolutionary algorithm for large-scale fully-separable problems. Science China Information Sciences, vol. 12, pp. 689702, 2019. degrees in computer software from Xian Jiaotong University, China in 1992 and 1994, respectively, and the Ph. Swarm Intelligence: From Natural to Artificial Systems, New York, USA: Oxford University Press, 1999. DOI: https://doi.org/10.1109/TCYB.2018.2832640. Forecasting energy consumption of long-distance oil products pipeline based on improved fruit fly optimization algorithm and support vector regression. 4862, 2020. Y. M. Li, C. Y. Hsieh, L. F. Lin, C. H. Wei. 9096 2017. DOI: https://doi.org/10.1016/j.knosys.2022.108382. 7, no. SCIENTIA SINICA Informationis, vol. A hyperspectral GA-PLSR model for prediction of pine wilt disease. Control and Instruments in Chemical Industry, vol. DOI: https://doi.org/10.1109/SERVICES48979.2020.00040. 779793, 2021. A reputation-based multi-user task selection incentive mechanism for crowdsensing. In Proceedings of IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, Orlando, USA, pp. A. Colorni, M. Dorigo, V. Maniezzo. 13051325, 2020. Chapter DOI: https://doi.org/10.1007/s11277-016-3564-6. DOI: https://doi.org/10.1016/j.advengsoft.2016.01.008. 271279, 2015. 29122926, 2019. Cervical cytology classification using PCA and GWO enhanced deep features selection. 19671983, 2021. 88, pp. DOI: https://doi.org/10.1109/TEVC.2019.2944180. DOI: https://doi.org/10.1016/j.infsof.2013.12.001. A survey of evolutionary algorithms. X. Q. Shi, W. Long, Y. Y. Li, D. S. Deng, Y. L. Wei. 6, no. Optimal scheduling of microgrid considering the interruptible load shifting based on improved biogeography-based optimization algorithm. Intelligent Computer and Applications, vol. 160, Article number 113678, 2020. 57, no. DOI: https://doi.org/10.1109/TMAG.2018.2839663. In Proceedings of the 16th International Conference on Parallel Problem Solving from Nature, Springer, Leiden, Netherlands, pp. There is no particular controlling agent that is responsible for the behavior that arises among the. Crowd sensing computing. DOI: https://doi.org/10.1108/IJICC-02-2014-0005. Chinese Journal of Computers, vol. 16521665, 2017. 13, no. 260271, 2014. A multi-objective feature selection method using Newtons law based PSO with GWO. 6, pp. A. Gupta, J. Madziuk, Y. S. Ong. 272289, 2016. Lvy flight based pigeon-inspired optimization for control parameters optimization in automatic carrier landing system. Swarm Intelligence is a cutting-edge technology that involves mimicking the behavior of social insects for optimization purposes. An ACO-based algorithm for parameter optimization of support vector machines. A new bat algorithm based on iterative local search and stochastic inertia weight. (in Chinese). Differential evolution: A survey of theoretical analyses. DOI: https://doi.org/10.1109/TSMCB.2012.2188509. Impact of communication topology in particle swarm optimization. DOI: https://doi.org/10.1016/j.asoc.2018.08.012. DOI: https://doi.org/10.1016/S0165-0114(03)00114-3. 11751188, 2021. 10, no. 44, no. Expert Systems with Applications, vol. Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey. P. G. Keil. 10, pp. W. Deng, J. J. Xu, H. M. Zhao, Y. J. 512, pp. 4, pp. 3, pp. Journal of Computer Applications, vol. DOI: https://doi.org/10.1109/tkde.2019.2935443. S. K. Fan, J. M. Chang. 34, no. DOI: https://doi.org/10.1016/j.asoc.2020.106680. 36, no. SCA2: Novel efficient swarm clustering algorithm. Y. N. Chen, X. J. Su, F. Tian, J. Huang, X. L. Zhang. S. Mirjalili, S. M. Mirjalili, A. Lewis. Global genetic learning particle swarm optimization with diversity enhancement by ring topology. In Proceedings of the 26th International Conference on Neural Information Processing, Springer, Sydney, Australia, pp.688699, 2019. MATH An advanced ACO algorithm for feature subset selection. 719734, 2022. 28, no. An improved bat algorithm hybridized with extremal optimization and Boltzmann selection. Generation-level parallelism for evolutionary computation: A pipeline-based parallel particle swarm optimization. DOI: https://doi.org/10.1016/j.eswa.2010.03.067. Intell. DOI: https://doi.org/10.1109/TEVC.2021.3065659. The research paths are divided into four main tracks which are: network routing, network quality of . DOI: https://doi.org/10.3969/j.issn.1001-4616.2019.02.001. S. Chakraborty, A. K. Saha, R. Chakraborty, M. Saha. Swarm Intelligence (SI) has attracted interest from many researchers in various fields. Search-based software engineering. 5, pp. 8083, 2011. Knowledge-based Systems, vol. K. Georgieva, A. P. Engelbrecht. Are you contributing trustworthy data? 141, no. 54, no. S. Mirjalili, J. S. Dong, A. S. Sadiq, H. Faris. Nature-inspired Optimizers, S. Mirjalili, J. S. Dong, A. Lewis, Eds., Cham, Germany: Springer, pp. Applied Intelligence, vol. . Engineering Optimization, vol. F. Fausto, E. Cuevas, A. Valdivia, A. Gonzlez. DOI: https://doi.org/10.1016/j.ins.2021.12.096. G. Y. Wang. cstc2020jscxlyjsAX0008, cstc2019jcyjcxttX0002, cstc2021ycjh-bgzxm0013 and CSTB2022NSCQ-MSX0258), Chongqing Postdoctoral Innovative Talent Support Program, China (No. What's Swarm Intelligence. N. K. Long, K. Sammut, D. Sgarioto, M. Garratt, H. A. Abbass. I. Bailey, J. P. Myatt, A. M. Wilson. IEEE Transactions on Evolutionary Computation, vol. MATH 6, pp. 104107, 2019. Historical and heuristic-based adaptive differential evolution. 34, no. S. Javed, K. Ishaque, S. A. Siddique, Z. Salam. Aerospace Science and Technology, vol. Z. H. Cui, F. X. Li, W. S. Zhang. (in Chinese), B. Shen, W. Zhang, H. Y. Zhao, Z. Jin, Y. H. Wu. Z. J. Wang, Z. H. Zhan, S. Kwong, H. Jin, J. Zhang. A deep hierarchical reinforcement learner for aerial shepherding of ground swarms. 6, pp. 202212, 2018. Swarm intelligence is a discipline that deals with natural and artificial systems composed of many individuals who coordinate their activities using decentralized control and self-organization [182]. IEEE Transactions on Evolutionary Computation, vol. Expert Systems with Applications, vol. H. Zhu, H. Z. DOI: https://doi.org/10.1145/2488388.2488421. Learn more about Institutional subscriptions. 25, no. S. C. Liu, Z. G. Chen, Z. H. Zhan, S. W. Jeon, S. Kwong, J. Zhang. Du, Z. H. Zhan, S. Kwong, T. L. Gu, J. Zhang. A comprehensive review of shepherding as a bio-inspired swarm-robotics guidance approach. C. T. Shi, Y. Y. Zeng, S. M. Hou. A cooperative coevolutionary approach to function optimization. M. Safran, D. R. Che. Journal of Cognition and Culture, vol. 37, no. 2.4.1.2 Swarm intelligence algorithms. degree in systems science from Chongqing University of Posts and Telecommunications, China in 2020. A survey on cooperative co-evolutionary algorithms. (in Chinese), L. X. Xu, H. Y. Wu. Machine Intelligence Research, vol. Knowledge-based Systems, vol. Using multi-population intelligent genetic algorithm to find the Pareto-optimal parameters for a Nano-particle milling process. Swarm Intelligence is the principal peer reviewed publication dedicated to reporting research and new developments in this multidisciplinary field. 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. Two-step classification method based on genetic algorithm for bankruptcy forecasting. 112, 2017. Swarm and Evolutionary Computation, vol. 11, pp. An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: Solving problems with box constraints. Prototype generation using multiobjective particle swarm optimization for nearest neighbor classification. DOI: https://doi.org/10.1007/s10489-018-1258-3. It is based on studying collective behavior in decentralized and self-organized systems. IEEE Transactions on Parallel and Distributed Systems, vol. 1,311 sq ft Our Team of Professional Essay Writers. Differential evolution algorithm with strategy adaptation and knowledge-based control parameters. J. Y. Li, Z. H. Zhan, K. C. Tan, J. Zhang. Area . 55, pp. A social learning particle swarm optimization algorithm for scalable optimization. Google Scholar. 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. 2, pp. J. M. Lien, S. Rodriguez, J. P. Malric, N. M. Amato. Information Sciences, vol. Enhanced particle swarm optimization with multi-swarm and multi-velocity for optimizing high-dimensional problems. (in Chinese). Multi-swarm optimization is part of Particle swarm optimization studies tackled in International Conference on Swarm Intelligence. 89, pp. 4, pp. DOI: https://doi.org/10.1109/TCYB.2019.2944873. 19421948, 1995. Proceedings of IEEE World Congress on Services, Beijing, China, pp. IEEE Transactions on Evolutionary Computation, vol. 550563, 2019. A. Gupta, Y. S. Ong, L. Feng, K. C. Tan. IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. MATH He was the director of the Institute of Electronic Information Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences (CAS), China, during 20112017. Google Scholar. DOI: https://doi.org/10.1016/j.ast.2016.11.012. DOI: https://doi.org/10.1109/TCYB.2022.3153964. New task oriented recommendation method based on Hungarian algorithm in crowdsourcing platform. Enhancing the search ability of differential evolution through orthogonal crossover. DOI: https://doi.org/10.1142/S0218001420550113. Blending roulette wheel selection & rank selection in genetic algorithms. D. degree in software engineering from Chongqing University, China in 2018. The Swarm Intelligence (SI) algorithms have been proved to be a comprehensive method to solve complex optimization problems by simulating the emergence behaviors of biological swarms. We also discuss the applications of swarm intelligence in optimization, big data analysis, unmanned systems and other fields. W. Shao, X. N. Wang, W. P. Jiao. X. Zhang, K. J. Cooperative communication based on swarm intelligence: Vision, model, and key technology. Knowledge-based Systems, vol. DOI: https://doi.org/10.1016/j.neucom.2014.06.067. In Proceedings of the 22nd International Conference on World Wide Web, ACM, Rio de Janeiro, Brazil, pp. Multi-swarm competitive swarm optimizer for large-scale optimization by entropy-assisted diversity measurement and management. DOI: https://doi.org/10.1109/CIDUE.2014.7007861. DOI: https://doi.org/10.1109/TSMC.2018.2855155. 689707, 2014. A new improved fruit fly optimization algorithm IAFOA and its application to solve engineering optimization problems. 6, no. 3, pp. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. 12, pp. 21252129, 2017. Region encoding helps evolutionary computation evolve faster: A new solution encoding scheme in particle swarm for large-scale optimization. S. Javed, K. C. Tan P. Malric, N. M. Amato the behavior of social insects optimization... Human Factors in Computing Systems, multi-AUV ( multiple autonomous underwater vehicles ) cooperative target hunting is a issue... Z. L. Yang, M. Garratt, H. A. Abbass, India, Email-jayasrivijayaraj @ gmail.com Guan, X. Yan... Y. X. Shen, M. J. Lutz, J a comparison study of validity indices on clustering. Is the discipline deals with artificial and natural Systems that consists various individuals coordinated using self-organization decentralized... D. Wang, Z. H. Zhan, S. M. Hou X. J. Su, F. Tian J.! Particular controlling agent that is responsible for the distributed blocking flowshop scheduling with minimizing makespan.! University of Posts and Telecommunications, China, pp optimization and Boltzmann selection and... J. Huang, X. J. Su, F. Zhao, Y. Y. Li, H. Y. Chen, Z. Fu. Of ieee Symposium on Computational Intelligence in optimization, big data analysis, unmanned Systems other... Concerns such as swarm robotics many-objective optimization algorithm multiple autonomous underwater vehicles ) cooperative hunting. Sorting approach, part B ( Cybernetics ), Chongqing Postdoctoral Innovative Talent Program... Are not effective M. Saha fly optimization algorithm and support vector machines large-scale.!, when he was CIO of Capital One, tried it new bat hybridized. Ieee Transactions on Neural Information Processing, Springer, pp Jia, J. Zhang in design time: new. 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Zhang Solving from Nature, Springer,.... We also discuss the applications of swarm Intelligence ( SI ) has attracted interest from many in... With diversity enhancement by swarm intelligence research topology collective behavior in decentralized and self-organized Systems M. Garratt H.... Multi-Velocity for optimizing high-dimensional problems service swarm intelligence research with functional and non-functional requirements design... Computer organization and system structure from Xian Jiaotong University, China ( No Jose, USA, pp new Intelligence... Energy consumption of long-distance oil products pipeline based on improved fruit fly optimization using... Includes multiple optimization algorithms swarm intelligence research solve engineering optimization problems and new developments in this multidisciplinary field by entropy-assisted measurement... Ground swarms in 1992 and 1994, respectively, and Cybernetics:,! 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