Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Memetic Algorithms and Their Applications in Computer Science

Memetic Algorithms and Their Applications in Computer Science
View Sample PDF
Author(s): B. K. Tripathy (VIT University, India), Sooraj T. R. (VIT University, India) and R. K. Mohanty (VIT University, India)
Copyright: 2018
Pages: 21
Source title: Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms
Source Author(s)/Editor(s): Sujata Dash (North Orissa University, India), B.K. Tripathy (VIT University, India) and Atta ur Rahman (University of Dammam, Saudi Arabia)
DOI: 10.4018/978-1-5225-2857-9.ch004


View Memetic Algorithms and Their Applications in Computer Science on the publisher's website for pricing and purchasing information.


The term “memetic algorithm” was introduced by Moscato is an extension of the traditional genetic algorithm. It uses a local search technique to reduce the likelihood of the premature convergence. Memetic algorithms are intrinsically concerned with exploiting all available knowledge about the problem under study. MAs are population-based metaheuristics. In this chapter we explore the applications of memetic algorithms to problems within the domains of image processing, data clustering and Graph coloring, i.e., how we can use the memetic algorithms in graph coloring problems, how it can be used in clustering based problems and how it is useful in image processing. Here, we discuss how these algorithms can be used for optimization problems. We conclude by reinforcing the importance of research on the areas of metaheuristics for optimization.

Related Content

Ying Tan. © 2020. 41 pages.
JunQi Zhang, JianQing Chen, WeiZhi Li. © 2020. 13 pages.
Jun Yu, Hideyuki Takagi. © 2020. 15 pages.
Daniel C. Lee, Katherine Manson. © 2020. 37 pages.
Sreeja N. K.. © 2020. 21 pages.
Shoufei Han, Kun Zhu. © 2020. 18 pages.
Yu Xue. © 2020. 28 pages.
Body Bottom