Titlebook: Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing; 7th International Co Aleš Zamuda,Swagatam Das,Bijaya Ketan Panig

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1865-0929  papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering..978-3-030-37837-0978-3-030-37838-7Series ISSN 1865-0929 Series E-ISSN 1865-0937

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Population Size in Differential Evolution,rential evolution algorithm, and then the improved self-adaptive differential evolution algorithm, on ten benchmark functions, that have been proposed for the CEC 2019 competition. We used six different population sizes. Afterwards, we tested the newly created algorithm with population reinitializat

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Self-organizing Migrating Algorithm with Non-binary Perturbation,al movement with a binary-valued perturbation (PRT) vector. The goal of perturbation is to improve the diversity of the population and exploration of the search space. In this paper, we study a variant of the SOMA algorithm with non-binary PRT vector. We investigate the effect of introducing a third

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Evolutionary Bi-objective Optimization and Knowledge Extraction for Electronic and Automotive Cooli the design of the heat sink with the aim of enhancing their efficiency and keeping the material cost to a minimum. The above-mentioned purpose is achieved by posing the heat sink design problem as a bi-objective optimization problem where entropy generation rate and material cost are the two confli