An efficient memetic algorithm for the graph partitioning problem
✍ Scribed by Philippe Galinier; Zied Boujbel; Michael Coutinho Fernandes
- Publisher
- Springer US
- Year
- 2011
- Tongue
- English
- Weight
- 619 KB
- Volume
- 191
- Category
- Article
- ISSN
- 0254-5330
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📜 SIMILAR VOLUMES
## a b s t r a c t The job shop scheduling problem (JSP) is well known as one of the most complicated combinatorial optimization problems, and it is a NP-hard problem. Memetic algorithm (MA) which combines the global search and local search is a hybrid evolutionary algorithm. In this paper, an eff
Many heuristics such as iterative improvement and simulated annealing are available in the literature which try to give a near-optimal solution to the graph partitioning problem. Recently, a new method called the noising method has been proposed for solving combinatorial optimization problems. The n