article · Evolutionary Computation · 2004

Real-Coded Memetic Algorithms with Crossover Hill-Climbing

Manuel Lozano, Francisco Herrera, Natalio Krasnogor, Daniel Molina

Cited by 324Abstract and details only

Abstract

This paper presents a real-coded memetic algorithm that applies a crossover hill-climbing to solutions produced by the genetic operators. On the one hand, the memetic algorithm provides global search (reliability) by means of the promotion of high levels of population diversity. On the other, the crossover hill-climbing exploits the self-adaptive capacity of real-parameter crossover operators with the aim of producing an effective local tuning on the solutions (accuracy). An important aspect of the memetic algorithm proposed is that it adaptively assigns different local search probabilities to individuals. It was observed that the algorithm adjusts the global/local search balance according to the particularities of each problem instance. Experimental results show that, for a wide range of problems, the method we propose here consistently outperforms other real-coded memetic algorithms which appeared in the literature.

Cite this paper

APA 7

Lozano, M., Herrera, F., Krasnogor, N., & Molina, D. (2004). Real-Coded Memetic Algorithms with Crossover Hill-Climbing. Evolutionary Computation, 12(3), 273–302. https://doi.org/10.1162/1063656041774983

MLA 9

Lozano, Manuel, et al. “Real-Coded Memetic Algorithms with Crossover Hill-Climbing.” Evolutionary Computation, vol. 12, no. 3, 2004, pp. 273–302, https://doi.org/10.1162/1063656041774983.

Chicago

Lozano, Manuel, Francisco Herrera, Natalio Krasnogor, and Daniel Molina. 2004. “Real-Coded Memetic Algorithms with Crossover Hill-Climbing.” Evolutionary Computation 12 (3): 273–302. https://doi.org/10.1162/1063656041774983.

Harvard

Lozano, M. et al. (2004) ‘Real-Coded Memetic Algorithms with Crossover Hill-Climbing’, Evolutionary Computation, 12(3), pp. 273–302. Available at: https://doi.org/10.1162/1063656041774983.

BibTeX

@article{lozano2004real,
  title = {{Real-Coded Memetic Algorithms with Crossover Hill-Climbing}},
  author = {Lozano, Manuel and Herrera, Francisco and Krasnogor, Natalio and Molina, Daniel},
  journal = {Evolutionary Computation},
  volume = {12},
  number = {3},
  pages = {273--302},
  year = {2004},
  doi = {10.1162/1063656041774983}
}

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