Title :
Morphic search strategies
Author :
Kingdon, J. ; Dekke, L.
Author_Institution :
Intelligent Syst., SearchSpace Ltd., London, UK
Abstract :
This paper presents the details of a novel search strategy based on randomly remapped search spaces. The algorithm, the Multi-Morphic Hill Climber (MMHC), uses multiple base changes in the encoding of potential solutions, so as to adjust the shape and form of a search problem. We describe the algorithm´s structure and present the details of the algorithm´s results on the range of real-valued test functions as defined by the IEEE First International Contest on Evolutionary Optimisation
Keywords :
genetic algorithms; search problems; Multi-Morphic Hill Climber; morphic search strategies; multiple base changes; randomly remapped search spaces; real-valued test functions; search strategy; Biological cells; Computer science; Decoding; Educational institutions; Encoding; Genetic algorithms; Intelligent systems; Laboratories; Sampling methods; Search problems;
Conference_Titel :
Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
Conference_Location :
Nagoya
Print_ISBN :
0-7803-2902-3
DOI :
10.1109/ICEC.1996.542710
