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Titlebook: Advances in Swarm Intelligence; 8th International Co Ying Tan,Hideyuki Takagi,Ben Niu Conference proceedings 2017 Springer International Pu

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期刊全称Advances in Swarm Intelligence
期刊简称8th International Co
影响因子2023Ying Tan,Hideyuki Takagi,Ben Niu
视频video
发行地址Includes supplementary material:
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Advances in Swarm Intelligence; 8th International Co Ying Tan,Hideyuki Takagi,Ben Niu Conference proceedings 2017 Springer International Pu
影响因子The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Conference on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. .The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows:.Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm. .Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications. .
Pindex Conference proceedings 2017
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Silvia Zorzetto,Francesco Ferraroults indicate that there is no statistical significant difference in performance between these two approaches. However, depending on the multi-objective evolutionary algorithm (MOEA) one approach does provide slightly better solutions than the other approach.
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Conceptions of Giftedness and Talentthe positive posts themselves. In product recommendations with various emotional words, positive emotional recommendations are able to achieve better recommendations than that of either negative or neutral recommendations. The results of our study can effectively help service and product suppliers c
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A Novel Linear Time Invariant Systems Order Reduction Approach Based on a Cooperative Multi-objectivng the same problems using various approaches and heuristic optimization tools and it is demonstrated that the set of solutions not only outperforms these approaches by the main criterion, but also provides good solutions with another criterion and a combination of them using the same computational
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