Parallel genetic algorithms for optimization and application to NP-complete problem solving
| Author(s) : | E-g. Talbi D. Duvivier, |
| Publisher : | N/A |
| Publication Date : | 1995 |
| ISSN : | N/A |
| Abstract : | Genetic algorithms (GAs) are stochastic research methods introduced by J. Holland in the 70's and inspired by the biological evolution of living beings. In the past, GAs have been successfully applied in the fields of artificial intelligence and combinatorial optimization. However, their execution cost is a major drawback to, |