Journal
SWARM AND EVOLUTIONARY COMPUTATION
Volume 2, Issue -, Pages 1-14Publisher
ELSEVIER
DOI: 10.1016/j.swevo.2011.11.003
Keywords
Memetic computing; Evolutionary algorithms; Memetic algorithms; Computational intelligence optimization
Funding
- Academy of Finland, Akatemiatutkija, Algorithmic Design Issues in Memetic Computing [130600]
- Spanish MICINN [TIN2008-05941, TIN2011-28627-C04-01]
- Junta de Andalucia [TIC-6083]
Ask authors/readers for more resources
Memetic computing is a subject in computer science which considers complex structures such as the combination of simple agents and memes, whose evolutionary interactions lead to intelligent complexes capable of problem-solving. The founding cornerstone of this subject has been the concept of memetic algorithms, that is a class of optimization algorithms whose structure is characterized by an evolutionary framework and a list of local search components. This article presents a broad literature review on this subject focused on optimization problems. Several classes of optimization problems, such as discrete, continuous, constrained, multi-objective and characterized by uncertainties, are addressed by indicating the memetic recipes proposed in the literature. In addition, this article focuses on implementation aspects and especially the coordination of memes which is the most important and characterizing aspect of a memetic structure. Finally, some considerations about future trends in the subject are given. (C) 2011 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available