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2000•Journal of Japan Society for Fuzzy Theory and Intelligent InformaticsOpen access

An Evolutionary Algorithm for Graph Coloring Problems

Fathelalem F. Ali, Zensho Nakao, Richard B. Tan

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Abstract

This paper presents an evolutionary algorithm for graph-coloring problems. The proposed evolutionary algorithm works on artificial strings each of which represents some coloring solution. Using robust encoding and genetic operators, the algorithm exploits, and evolves better solutions. In experiments the algorithm is applied to random normal graphs instances as well as radio-coloring instances.

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What this paper is about

This paper presents an evolutionary algorithm for graph-coloring problems. The proposed evolutionary algorithm works on artificial strings each of which represents some coloring solution. Using robust encoding and genetic operators, the algorithm exploits, and evolves better solutions. In experiments the algorithm is applied to random normal graphs instances as well as radio-coloring instances.

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Available abstract

This paper presents an evolutionary algorithm for graph-coloring problems. The proposed evolutionary algorithm works on artificial strings each of which represents some coloring solution. Using robust encoding and genetic operators, the algorithm exploits, and evolves better solutions. In experiments the algorithm is applied to random normal graphs instances as well as radio-coloring instances.

Key concepts: Graph coloring, Greedy coloring, Evolutionary algorithm, Computer science, Algorithm, Exploit, List coloring, Graph

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