JOURNAL ARTICLE

A Binary Cuckoo Search Algorithm for Graph Coloring Problem

Halima DjelloulAbdesslem LayebSalim Chıkhı

Year: 2014 Journal:   International Journal of Applied Evolutionary Computation Vol: 5 (3)Pages: 42-56   Publisher: IGI Global

Abstract

The Graph Coloring Problem (GCP) is one of the most interesting, studied, and difficult combinatorial optimization problems. That is why several approaches were developed for solving this problem, including exact approaches, heuristic approaches, metaheuristics, and hybrid approaches. This paper tries to solve the graph coloring problem using a discrete binary version of cuckoo search algorithm. To show the feasibility and the effectiveness of the algorithm, it has used the standard DIMACS benchmark, and the obtained results are very encouraging.

Keywords:
Graph coloring Cuckoo search Computer science Benchmark (surveying) Metaheuristic Binary number Combinatorial optimization Heuristic Graph Algorithm Theoretical computer science Mathematics Artificial intelligence Particle swarm optimization

Metrics

7
Cited By
1.13
FWCI (Field Weighted Citation Impact)
39
Refs
0.83
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Scheduling and Timetabling Solutions
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Vehicle Routing Optimization Methods
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Metaheuristic Optimization Algorithms Research
Physical Sciences →  Computer Science →  Artificial Intelligence

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