Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
How to solve it: modern heuristics
How to solve it: modern heuristics
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
| Hi-index | 0.00 |
The Genetic Neighborhood Search (GNS) is a hybrid method for combinatorial optimization problems. A main feature of the approach is the iterative use of local search on extended neighborhoods, where the better solution will be the center of a new extended neighborhood. We propose using a genetic algorithm to explore the extended neighborhoods. Computational experiences show that this approach is robust with respect to the starting point and that high quality solutions are obtained in reasonable time.