2012 ©
             Publication
Journal Publication
Title of Article A Modified Discrete Differential Evolution Algorithm for Solving Graph Coloring Problem 
Date of Acceptance 8 March 2022 
Journal
     Title of Journal Advances in Dynamical Systems and Applications (ADSA) 
     Standard SCOPUS 
     Institute of Journal Research India Publications 
     ISBN/ISSN 0973-5321 
     Volume 17 
     Issue
     Month
     Year of Publication 2022 
     Page 331-343 
     Abstract Graph coloring problem (GCP) is a combinatorial optimization problem with many applications in science and engineering. Because the coloring is sensitive to the order of vertices and is computationally hard, heuristic search methods on the domain of permutation of vertices have become a practical solution approach. In this work, we propose a modified discrete differential algorithm (MDDE) to generate suitable permutations by improving mutation and crossover operators. The method is tested and compared with several well-known methods using DIMACS benchmark graphs. The experimental results show that the proposed MDDE is effective for the graph coloring problem. 
     Keyword Discrete differential evolution algorithm, permutation-based combinatorial optimization problems, graph coloring problem, optimization. 
Author
597020044-1 Miss KANITA PUNHONG [Main Author]
Science Doctoral Degree

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