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Titlebook: Advances in Swarm and Computational Intelligence; 6th International Co Ying Tan,Yuhui Shi,Andries Engelbrecht Conference proceedings 2015 S

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發(fā)表于 2025-3-21 18:31:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Swarm and Computational Intelligence
期刊簡稱6th International Co
影響因子2023Ying Tan,Yuhui Shi,Andries Engelbrecht
視頻videohttp://file.papertrans.cn/150/149961/149961.mp4
發(fā)行地址Up-to-date results.Fast track conference proceedings.State-of-the-art report
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Swarm and Computational Intelligence; 6th International Co Ying Tan,Yuhui Shi,Andries Engelbrecht Conference proceedings 2015 S
影響因子This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015. The 161 revised full papers presented were carefully reviewed and selected from 294 submissions. The papers are organized in 28 cohesive sections covering all major topics of swarm intelligence and computational intelligence research and development, such as novel swarm-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid methods; multi-objective optimization; multi-agent systems and swarm robotics; Neural networks and fuzzy methods; data mining approaches; information security; automation control; combinatorial optimization algorithms; scheduling and path planning; machine learning; blind sources separation; swarm interaction behavior; parameters and system o
Pindex Conference proceedings 2015
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Gerhard Preyer,Georg Peter,Maria Ulkan of car bodies, ship hulls, airplane fuselage), computer graphics and animation, medicine, and many others. Although polynomial blending functions are usually applied to solve this problem, some shapes cannot yet be adequately approximated by using this scheme. In this paper we address this issue by
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Gerhard Preyer,Georg Peter,Maria Ulkanin the elemental stiffness parameter of the structural finite element model. The damage parameters are determined by minimizing the error derived from modal data, and natural frequency and modal assurance criteria (MAC) of mode shape is employed to formulate the objective function. The BMO algorithm
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https://doi.org/10.1057/9780230596375 principle of FA is introduced, some key parameters, such as light intensity, attractiveness, and rules of attraction are defined. The moving forces-induced responses of damage structures are defined as a function of both damage factors and moving forces. By minimizing the difference between the rea
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