Metaheuristics for hard optimization methods and case studies /
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, - tabu search, - the evolutionary algorithms, - ant colony algorithms. Each one of these metaheuristic...
| Uniform Title: | Métaheuristiques pour l'optimisation difficile. English |
|---|---|
| Other Authors: | Dréo, J., SpringerLink (Online Service) |
| Format: | eBook |
| Language: | English French |
| Published: |
Berlin ; New York :
Springer,
©2006.
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| Physical Description: |
1 online resource (xii, 369 pages) : illustrations. |
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |