The Frontiers of Real-coded Genetic Algorithms

Author:

Kobayashi Shigenobu1

Affiliation:

1. Department of Intelligent Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology

Publisher

Japanese Society for Artificial Intelligence

Subject

Artificial Intelligence,Software

Reference18 articles.

1. [Ackley 87] D. H. Ackley: An Empirical Study of Bit Vector Function Optimization, Genetic Algorithms and Simulated Annealing, pp. 170-204 (1987)

2. [Boese 95] K. Boese: Cost versus Distance in the traveling Salesman Problem, Tech. Rep. TR-950018, UCLA CS Department (1995)

3. [Davis 90] L. Davis: The Handbook of Genetic Algorithms, Van Nostrand Reinhold, New York (1990)

4. [Deb 01] K. Deb: Multi-Objective Optimization using Evolutionary Algorithms, John Wiley \& Sons, Chichester, UK (2001)

5. [Eshelman 90] L. J. Eshelman: The CHC Adaptive Search Algorithm: How to have Safe search When Engaging in Nontraditional Genetic Recombination, Foundations of Genetic Algorithms, pp. 265-283 (1990)

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