This book is a PhD dissertation which focuses on the study, design,
development and application of centralised cooperative strategies
for optimisation problems. These models consist of a set of
parallel cooperating agents, where each agent carries out a search
in a solution space sharing information with the rest of the
agents. Many studies have shown that this cooperation leads to more
efficient and effective strategies. The authors start describing
the most known trajectory and population-based metaheuristics and
introduce the cooperative strategies. The core of this book is
devoted to the following topics: analysis of the composition and
the cooperation scheme, hybridization with Reactive Search ideas,
application of centralised cooperative strategies to Dynamic
Optimisation Problems and resolution of sets of instances by a
cooperative method. The book is addressed to students or
researchers in the fields of Intelligent Systems, Soft Computing,
Optimisation Techniques and, especially, Hybrid Metaheuristics.
General
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