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Many advances have recently been made in metaheuristic methods, from theory to applications. The community of researchers claiming the relevance of their work to the field of metaheuristics is growing faster and faster, despite the fact that the term itself has not been precisely defined. This book discusses theoretical developments in metaheuristics, adaptation of discrete metaheuristics to continuous optimization, performance comparisons of metaheuristics, cooperative methods combining different approaches, parallel and distributed metaheuristics for multiobjective optimization, software implementations, and real-world applications.

This book presents and discusses research in the study of computer science. Topics discussed include biological pathways; supervised learning approaches; pathway modeling; shortest path algorithms; clustering algorithms; inductive logic programming and computationally efficient approximation schemes for functional optimization.