IQAC Image
IQAC Image
DIU Logo
QS Ranking

DIU JOURNAL OF SCIENCE AND TECHNOLOGY

Our Feauture
  • Free of Cost Publishing
  • Global Exposer
  • Rigorous Peer Review
  • Prompt Publishing
  • Open Access

Paper Title
STUDY ON GA BASED SOLUTIONS TO SET PARTITIONING PROBLEM AND PROPOSED NEW APPROACH

Authors

Nirjon, S.M. Shahriar

Abstract

Evolutionary Algorithms (EAs) are search methods that take their inspiration from natural selection and survival of the fittest in the biological world. Genetic Algorithm is a kind of EA GAs emphasize on the behavioral linkage between the parent generation and their offspring. GAs have been successfully applied to many optimization problems in recent years. In this paper, we work with various GA based solutions used to partition a number of objects into a numbers of disjoint subsets according to some problem specific optimization criteria and we also pose the merits and demerits of these solutions. Later on we propose our own structural approach and show the results.

Keywords

Crossover, Fitness function, Genetic Algorithm, Mutation, Population, Selection.

Manuscript Submission
Click Here to Submit Manuscript