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Experiments using scatter search for the multidemand multidimensional knapsack problem | p. 3 |
A scatter search heuristic for the fixed-charge multicommodity flow network design problem | p. 25 |
Tabu search-based metaheuristic algorithm for large-scale set covering problems | p. 43 |
Log-truck scheduling with a tabu search strategy | p. 65 |
Solving the capacitated multi-facility weber problem by simulated annealing, threshold accepting and genetic algorithms | p. 91 |
A memetic algorithms for the reviewer assignment problem | p. 113 |
GRASP with path-relinking for the TSP | p. 137 |
Using a randomised iterative improvement algorithm with, composite neighbourhood structures for the university course timetabling problem | p. 153 |
Variable neighborhood search for the probabilistic satisfiability problem | p. 173 |
The ACO/F-RACE algorithm for combinatorial optimization under uncertainty | p. 189 |
Adaptive control of genetic parameters for dynamic combinatorial problems | p. 205 |
A memetic algorithm for dynamic location problems | p. 225 |
Panmictic versus decentralized genetic algorithms for non-stationary problems | p. 245 |
Particle swarm optimization and sequential sampling in noisy environments | p. 261 |
Embedding a chained Lin-Kernighan algorithm into a distributed algorithm | p. 277 |
Exploring grid implementations of parallel cooperative metaheuristics | p. 297 |
Using experimental design to analyze stochastic local search algorithms for multiobjective problems | p. 325 |
Distance measures and fitness-distance analysis for the capacitated vehicle routing problem | p. 345 |
Tuning TABU search strategies via visual diagnosis | p. 365 |
Solving vehicle routing using iOpt | p. 389 |
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The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.