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Metaheuristics for Hard Optimization
Methods and Case Studies
Johann Dréo, Alain Pétrowski, Patrick Siarry & Eric Taillard
Book coordinated by Patrick Siarry
SPRINGER
ISBN 3-540-23022-X. December 2005.
369 p. 140 illus. Hardcover
Recommended Retail Price: US $ 99.00
http://www.springer.com/sgw/cda/frontpage/0,11855,4-40109-22-52101430- 0,00.html
Metaheuristics for Hard Optimization comprises of three parts.
The first part is devoted to the detailed presentation of the four most widely known metaheuristics: the simulated annealing method, the tabu search, the evolutionary and the genetic algorithms, the ant colony algorithms. Each one of these metaheuristics is actually a family of methods, of which the essential elements are discussed.
In the second part, the book presents some other less widespread metaheuristics, then extensions of metaheuristics and some ways of research are described . The problem of the choice of a metaheuristic is posed and solution methods are discussed.
The last part concentrates on three case studies from telecommunications, air traffic control, and vehicle routing.
Keywords: Metaheuristics, Multiobjective optimization, Global optimization.
Contents:
Introduction.- Simulated annealing.- Tabu search.- Evolutionary algorithms.- Ant colony algorithms.- Some other metaheuristics.- Extensions.- Methodology.- Optimization of UMTS radio access networks with genetic algorithms.- Genetic algorithms applied to air traffic management.- Constraint programming and ant colonies applied to vehicle routing problems.- Conclusion.- Appendix A: modeling of simulated annealing through the Markov chain formalism.- Appendix B : complete example of implementation of tabu search for the Quadratic Assignment Problem.- References.- Index.
Methods and Case Studies
Johann Dréo, Alain Pétrowski, Patrick Siarry & Eric Taillard
Book coordinated by Patrick Siarry
SPRINGER
ISBN 3-540-23022-X. December 2005.
369 p. 140 illus. Hardcover
Recommended Retail Price: US $ 99.00
http://www.springer.com/sgw/cda/frontpage/0,11855,4-40109-22-52101430- 0,00.html
Metaheuristics for Hard Optimization comprises of three parts.
The first part is devoted to the detailed presentation of the four most widely known metaheuristics: the simulated annealing method, the tabu search, the evolutionary and the genetic algorithms, the ant colony algorithms. Each one of these metaheuristics is actually a family of methods, of which the essential elements are discussed.
In the second part, the book presents some other less widespread metaheuristics, then extensions of metaheuristics and some ways of research are described . The problem of the choice of a metaheuristic is posed and solution methods are discussed.
The last part concentrates on three case studies from telecommunications, air traffic control, and vehicle routing.
Keywords: Metaheuristics, Multiobjective optimization, Global optimization.
Contents:
Introduction.- Simulated annealing.- Tabu search.- Evolutionary algorithms.- Ant colony algorithms.- Some other metaheuristics.- Extensions.- Methodology.- Optimization of UMTS radio access networks with genetic algorithms.- Genetic algorithms applied to air traffic management.- Constraint programming and ant colonies applied to vehicle routing problems.- Conclusion.- Appendix A: modeling of simulated annealing through the Markov chain formalism.- Appendix B : complete example of implementation of tabu search for the Quadratic Assignment Problem.- References.- Index.