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Titlebook: Search and Optimization by Metaheuristics; Techniques and Algor Ke-Lin Du,M. N. S. Swamy Textbook 2016 Springer International Publishing Sw

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Ke-Lin Du,M. N. S. SwamyOffers a comprehensive and state-of-the-art introduction to nature-inspired metaheuristics.Includes detailed, implementable algorithmic flowcharts for the most popular algorithms.Discusses over 100 di
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978-3-319-82290-7Springer International Publishing Switzerland 2016
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https://doi.org/10.1007/978-3-319-41192-7Metaheuristics; Evolutionary Computation; Natural Computing; Swarm Intelligence; Optimization
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Simulated Annealing,ed by the annealing process in metallurgy. Annealing is a physical process where a solid is slowly cooled until its structure is eventually frozen at a minimum energy configuration. Various SA variants are also introduced.
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Evolutionary Strategies, to construct gradient information for directing the search efficiently. Covariance matrix adaptation (CMA) ES [.] accelerates the search efficiency by supposing that the local solution space of the current point has a quadratic shape.
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Topics in Evolutinary Algorithms,y using finite and infinite population models. Various parallel implementations of EAs are then described in detail. Some other associated topics including coevolution and fitness approximation are finally introduced.
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Swarm Intelligence, candidate solutions (chromosomes) using evolutionary operators. Swarm intelligence methods use differential position update rules for obtaining new candidate solutions. The popularity of the swarm intelligence methods is due to their simplicity, easy adaptation to the problem, and effectiveness in solving the complex optimization problems.
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