InhaltsangabeForeword; Fred Glover Preface Chapter 1: Introduction; Edmund Burke and Graham Kendall Chapter 2: Classical Techniques; Kathryn Dowsland Chapter 3: Integer Programming; Bob Bosch and Michael Trick Chapter 4: Genetic Algorithms; Kumara Sastry, David Goldberg, and Graham Kendall Chapter 5: Genetic Programming; John Koza and Riccardo Poli Chapter 6: Tabu Search; Michael Gendreau and Jean-Yves Potvin Chapter 7: Simulated Annealing; Emile Aarts, Jan Korst and Wil Michiels Chapter 8: Variable Neighborhood Search; Pierre Hansen and Nenad Mladenovic Chapter 9: Constraint Programming; Eugene Freuder and Mark Wallace Chapter 10: Multi-Objective Optimization; Kalyanmoy Deb Chapter 11: Complexity Theory and The No Free Lunch Theorem; Darrell Whitley and Jean Paul Watson Chapter 12:Machine Learning; Xin Yao and Yong Liu Chapter 13: Artificial Immune Systems; Uwe Aickelin and Dipankar Dasgupta Chapter 14: Swarm Intelligence; Daniel Merkle and Martin Middendorf Chapter 15: Fuzzy Reasoning; Costas Pappis and Constantinos Siettos Chapter 16: Rough Set Based Decision Support; Roman Slowinski, Salvatore Greco and Benedetto Matarazzo Chapter 17: Hyper-heuristics; Peter Ross Chapter 18:Approximation Algorithms; Carla Gomes and Ryan Williams Chapter 19: Fitness Landscapes; Colin Reeves