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Titlebook: Bioinspired Optimization Methods and Their Applications; 9th International Co Bogdan Filipič,Edmondo Minisci,Massimiliano Vasile Conference

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期刊全称Bioinspired Optimization Methods and Their Applications
期刊简称9th International Co
影响因子2023Bogdan Filipič,Edmondo Minisci,Massimiliano Vasile
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Bioinspired Optimization Methods and Their Applications; 9th International Co Bogdan Filipič,Edmondo Minisci,Massimiliano Vasile Conference
影响因子.This book constitutes the refereed proceedings of the 9th International Conference on Bioinspired Optimization Methods and Their Applications, BIOMA 2020, held in Brussels, Belgium, in November 2020...The 24 full papers presented in this book were carefully reviewed and selected from 68 submissions...The papers in this BIOMA proceedings specialized in bioinspired algorithms as a means for solving the optimization problems and came in two categories: theoretical studies and methodology advancements on the one hand, and algorithm adjustments and their applications on the other...Due to the Corona pandemic BIOMA 2020 was held as a virtual event..
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Refining the CC-RDG3 Algorithm with Increasing Population Scheme and Persistent Covariance MatrixCC-RDG3 where it uses recursive differential grouping and covariance matrix adaptation evolution strategies (CMA-ES). It was shown that the algorithm performs well on the CEC2013-LSGO benchmark functions. In this study, some modifications to the CC-RDG3 algorithm are proposed to improve performance.
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Communication Optimization for Efficient Dynamic Task Allocation in Swarm Roboticsea to the usage of swarm robotics because it enables the solution of complex problems with a coordinated execution of basic tasks, which together lead to the achievement of the swarm common goal. This coordination is only possible with an efficient task allocation. Inspired by the strategy of the pa
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Migration Guided by a Performance Index in Heterogeneous Island Modelstivates their implementation to run in parallel computational environments. Island Model enables the parallel implementation of Evolutionary Algorithms relatively easily to incorporate the migration operation into the evolutionary process. The inclusion of new solutions in a population, previously e
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