Metaheuristics: A Comprehensive Guide to the Design and Implementation of Effective Optimisation Strategies

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.