Title :
Diversifying exploration of feature spaces in evolutionary searches
Author :
Hendtlass, Tim ; Copland, H.
Author_Institution :
Swinburne Univ. of Technol., Hawthorn, Vic., Australia
Abstract :
Evolutionary algorithms require excellent search capabilities in order to find global minima, particularly in complex feature spaces. A means of enhancing search capabilities based upon a distributed genetic-style encoding of solution has been shown to be advantageous. Such a representation requires the use of varying gene lengths. The effects of variable gene lengths are explored in detail
Keywords :
encoding; evolutionary computation; search problems; complex feature spaces; distributed genetic-style encoding; evolutionary algorithms; evolutionary searches; feature spaces; global minima; search capabilities; variable gene lengths; varying gene lengths; Biological cells; Biological information theory; Character generation; Encoding; Genetic mutations; Joining processes; Organisms; Petroleum; Space exploration; Space technology;
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
DOI :
10.1109/ICONIP.1999.845632
