Abstract | ||
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This paper proposes a linear programming (LP)-guided Hopfield-genetic algorithm for a class of combinatorial optimization problems which admit a 0-1 integer linear programming. The algorithm modifies the updating order of the binary Hopfield network in order to obtain better performance of the complete hybrid approach. We theoretically analyze several different updating orders proposed. We also include in the paper a novel proposal to guide the Hopfield network using the crossover and mutation operators of the genetic algorithm. Experimental evidences that show the good performance of the proposed approach in two different combinatorial optimization problems are also included in the paper. |
Year | DOI | Venue |
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2009 | 10.1016/j.cor.2008.08.012 | Computers & OR |
Keywords | DocType | Volume |
LP-guided Hopfield network-genetic algorithm,complete hybrid approach,combinatorial optimization problem,Hopfield network,Hopfield-genetic algorithm,genetic algorithm,integer linear programming,good performance,binary Hopfield network,better performance,different combinatorial optimization problem | Journal | 36 |
Issue | ISSN | Citations |
7 | Computers and Operations Research | 2 |
PageRank | References | Authors |
0.38 | 4 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sancho Salcedo-Sanz | 1 | 580 | 71.21 |
Emilio G. Ortiz-García | 2 | 140 | 10.54 |
Ángel M. Pérez-Bellido | 3 | 130 | 11.71 |
Antonio Portilla-Figueras | 4 | 147 | 19.07 |
Francisco López-Ferreras | 5 | 46 | 8.08 |