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Titlebook: Advances in Swarm Intelligence; 12th International C Ying Tan,Yuhui Shi Conference proceedings 2021 Springer Nature Switzerland AG 2021 swa

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期刊全称Advances in Swarm Intelligence
期刊简称12th International C
影响因子2023Ying Tan,Yuhui Shi
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Advances in Swarm Intelligence; 12th International C Ying Tan,Yuhui Shi Conference proceedings 2021 Springer Nature Switzerland AG 2021 swa
影响因子.his two-volume set LNCS 12689-12690 constitutes the refereed proceedings of the 12th International Conference on Advances in Swarm Intelligence, ICSI 2021, held in Qingdao, China, in July 2021.. The 104 full papers presented in this volume were carefully reviewed and selected from 177 submissions. They cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms; Brain Storm Optimization Algorithm; Bacterial Foraging Optimization Algorithm; DNA Computing Methods; Multi-Objective Optimization; Swarm Robotics and Multi-Agent System; UAV Cooperation and Control; Machine Learning; Data Mining; and Other Applications..
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Amit Bhati,Sandeep Joshi,Ashish Guptamultiobjective evolutionary algorithm based on decomposition and tabu search to search an approximate Pareto front with good convergence and diversity. To further enhance the search ability, uniform generation is introduced to generate different uniform weight vectors for decomposition in every gene
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Pierre Collet,Jean-Pierre Eckmannptimization (DMO). Similarly, maintaining population diversity and reusing previous evolutionary information are useful to explore promising regions and to find high-quality solutions quickly in time-varying environments. To this end, a sliding time window based on parallel computing (STW-PC) is int
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A Modelling Framework for Societal Systems, involved, different decision makers have different objectives to optimize, and at least one decision maker has more than one objective. Although evolutionary multiobjective optimization has been studied for many years in the evolutionary computation field, evolutionary multiparty multiobjective opt
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A Preventive Adverse Drug Events System, reach multiple targets with the shortest path. This paper proposes an Immune System algorithm (ISA) for real-time map building and path planning for multi-target applications. Once a global route is planned by the ISA, a foraging-enabled trail is created to guide the robot to the multiple targets.
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