Title :
Parameter Control in Evolutionary Algorithms: Trends and Challenges
Author :
Karafotias, Giorgos ; Hoogendoorn, Mark ; Eiben, A.E.
Author_Institution :
Comput. Intell. Group, VU Univ. Amsterdam, Amsterdam, Netherlands
Abstract :
More than a decade after the first extensive overview on parameter control, we revisit the field and present a survey of the state-of-the-art. We briefly summarize the development of the field and discuss existing work related to each major parameter or component of an evolutionary algorithm. Based on this overview, we observe trends in the area, identify some (methodological) shortcomings, and give recommendations for future research.
Keywords :
evolutionary computation; search problems; evolutionary algorithms; heuristic search; parameter control; Algorithm design and analysis; Evolutionary computation; Genetic algorithms; Sociology; Statistics; Taxonomy; Tuning; Evolutionary algorithm; heuristic search; methodology; parameter control;
Journal_Title :
Evolutionary Computation, IEEE Transactions on
DOI :
10.1109/TEVC.2014.2308294