Title :
Parameter control in evolutionary algorithms
Author :
Eiben, Ágoston Endre ; Hinterding, Robert ; Michalewicz, Zbigniew
Author_Institution :
Inst. of Adv. Comput. Sci., Leiden Univ., Netherlands
fDate :
7/1/1999 12:00:00 AM
Abstract :
The issue of controlling values of various parameters of an evolutionary algorithm is one of the most important and promising areas of research in evolutionary computation: it has a potential of adjusting the algorithm to the problem while solving the problem. In the paper we: 1) revise the terminology, which is unclear and confusing, thereby providing a classification of such control mechanisms, and 2) survey various forms of control which have been studied by the evolutionary computation community in recent years. Our classification covers the major forms of parameter control in evolutionary computation and suggests some directions for further research
Keywords :
evolutionary computation; self-adjusting systems; control mechanisms; evolutionary algorithms; parameter control; self-adaptation; Bridges; Computer science; Evolutionary computation; Genetic mutations; Helium; Information technology; Power control; Problem-solving; Real time systems; Terminology;
Journal_Title :
Evolutionary Computation, IEEE Transactions on
DOI :
10.1109/4235.771166