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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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Differential Evolution,Differential evolution (DE) is a popular, simple yet efficient EA for solving real-parameter global optimization problems [.]. DE is an elitist EA. It creates new candidate solutions by a multiparent reproduction strategy. DE uses the directional information from the current population for each individual to form a simplex-like triangle.
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Bacterial Foraging Algorithm,This chapter describes bacterial foraging algorithm inspired by the social foraging behavior of Escherichia coli present in human intestine. Several algorithms inspired by molds, algae, and tumor cells are also introduced.
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Metaheuristics Based on Sciences,This chapter introduces dozens of metaheuristic optimization algorithms that are related to physics, natural phenomena, chemistry, biogeography, and mathematics.
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