We confront scheduling problems by means of a Genetic Algorithm that is hybridized with a local search method and specialized for a family of problems by seeding with heuristic knowledge. We also report experimental results that demonstrate the effect of both strategies on the GA performance. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Puente, J., Vela, C. R., Prieto, C., & Varela, R. (2003). Hybridizing a genetic algorithm with local search and heuristic seeding. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2687, 329–336. https://doi.org/10.1007/3-540-44869-1_42
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