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Titlebook: Advances in Metaheuristic Algorithms for Optimal Design of Structures; Ali Kaveh Book 2021Latest edition The Editor(s) (if applicable) and

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期刊全称Advances in Metaheuristic Algorithms for Optimal Design of Structures
影响因子2023Ali Kaveh
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发行地址Presents the most well-known and efficient metaheuristic algorithms.Demonstrates applications in structural engineering.Compares different algorithms which are applied successfully by the author‘s tea
图书封面Titlebook: Advances in Metaheuristic Algorithms for Optimal Design of Structures;  Ali Kaveh Book 2021Latest edition The Editor(s) (if applicable) and
影响因子.This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his graduate students, consisting of Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Democratic Particle Swarm Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization. These are presented together with algorithms which are developed by other authors and have been successfully applied to various optimization problems. These consist of Partical Swarm Optimization, Big Band Big Crunch algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm and Chaos Embedded Metaheuristic Algorithm. Finally a multi-objective Optimization is presented to Solve large scale structural problems based on the Charged System Search algorithm, In the second edition seven new chapters are added consisting of Enhance colliding bodies optimization, Global sensitivity analysis, Tug of War Optimization, Water evaporation optimization, Vibrating System Optimization and Cyclical Parthenogenesis Optimization algorithm. .In the third edition, five new c
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Lecture Notes in Computer Scienceennedy and Eberhart in Proc IEEE Int Conf Neural Netw 4:1942–1948, 1995 [1], Shi and Eberhart in Proceedings of IEEE world congress on computational intelligence, The 1998 IEEE international conference on evolutionary computation, pp 69–731, 1998 [2]).
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Ryunosuke Kirikihira,Kazutaka Shimadathm is based on one-dimensional collisions between bodies, with each agent solution being considered as the massed object or body. After a collision of two moving bodies having specified masses and velocities, these bodies are separated with new velocities. This collision causes the agents to move toward better positions in the search space.
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https://doi.org/10.1007/978-3-030-59392-6Meta-heuristic Algorithms; Multi-objective Optimization Algorithms; Optimization Problems; Optimization
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978-3-030-59394-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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