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Metaheuristics
A Comprehensive Guide to the Design and Implementation of Effective Optimisation Strategies
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Companies deal with many problems that seem difficult to solve at first: In which order should customers be delivered to so that the distance travelled by a delivery fleet is minimal? How can a portfolio of shares be improved with limited financial resources? Where should warehouses be located? Which streets should be covered by which mailman? In which order? §Real problems are too complex/large to solve using traditional mathematical programming methods. A new collection of methods (metaheuristics) have been developed that can find "good enough" solutions in reasonable time. §This book presents the main metaheuristic methods - tabu search, simulated annealing and genetic algorithms - and discusses their pros and cons. It includes program codes showing how each method is designed, used, evaluated and improved.§An ideal introduction for students; the inclusion of advanced topics also makes it of use to researchers as well as engineers and managers who will apply these methods to real problems.
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