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Metaheuristics are widely used to solve important practical combinatorial optimization problems. Many new multicast applications emerging from the Internet-such
Multi-Objective Optimization
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This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. Th
Metaheuristics for Dynamic Optimization
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This book is an updated effort in summarizing the trending topics and new hot research lines in solving dynamic problems using metaheuristics. An analysis of th
Evolutionary Algorithms for Mobile Ad Hoc Networks
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Describes how evolutionary algorithms (EAs) can be used to identify, model, and minimize day-to-day problems that arise for researchers in optimization and mobi
Multi-Objective Optimization in Theory and Practice II
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Multi-Objective Optimization in Theory and Practice is a simplified two-part approach to multi-objective optimization (MOO) problems. This second part focuses o