Springer Metaheuristics for Bi-level Optimization: 482 (Studies in Computational Intelligence, 482)

Product Description This book provides a complete background on metaheuristics to solve complex bi-level optimization problems in a diverse range of application domains. It includes numerous examples that demonstrate how metaheuristics are applied in the real-world. Review From the reviews: “This book is a collection of nine contributions focusing on the state of the art of metaheuristic methods for solving bi-level optimization problems. … the book addresses a very specialized audience of experts in metaheuristics for bi-level optimization, and will be very useful and informative to such experts regarding the latest advances in the field.” (I. M. Navon, Computing Reviews, October, 2013) From the Back Cover This book provides a complete background on metaheuristics to solve complex bi-level optimization problems (continuous/discrete, mono-objective/multi-objective) in a diverse range of application domains. Readers learn to solve large scale bi-level optimization problems by efficiently combining metaheuristics with complementary metaheuristics and mathematical programming approaches. Numerous real-world examples of problems demonstrate how metaheuristics are applied in such fields as networks, logistics and transportation, engineering design, finance and security.