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The goal of this book is to§present advances that discuss alternative Evolutionary Computation (EC) developments§and non-conventional operators which have proved to be e_ective in the solution§of several complex problems. The book has been structured so that each chapter§can be read independently from the others. The book contains nine chapters with§the following themes: 1) Introduction, 2) the Social Spider Optimization (SSO),§3) the States of Matter Search (SMS), 4) the collective animal behavior (CAB)§algorithm, 5) the Allostatic Optimization (AO) method, 6) the Locust Search§(LS) algorithm, 7) the Adaptive Population with Reduced Evaluations (APRE)§method, 8) the multimodal CAB, 9) the constrained SSO method.§
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