DocumentCode
419090
Title
Scuba search: when selection meets innovation
Author
Verel, Sébastien ; COLLARD, Philippe ; Clergue, Manuel
Author_Institution
Univ. de Nice-Sophia Antipolis, France
Volume
1
fYear
2004
fDate
19-23 June 2004
Firstpage
924
Abstract
We proposed a search heuristic using the scuba diving metaphor. This approach is based on the concept of evolvability and tends to exploit neutrality in fitness landscape. Despite the fact that natural evolution does not directly select for evolvability, the basic idea behind the scuba search heuristic is to explicitly push evolvability to increases. Globally the search process switches between two phases: conquest-of-the-waters and invasion-of-the-land. A comparative study of the algorithm and standard local search heuristics on the NKq-landscapes has shown advantage and limit of the scuba search. To enlighten qualitative differences between neutral search processes, the space is transformed into a connected graph to visualize the pathways that the search is likely to follow.
Keywords
evolutionary computation; graph theory; search problems; NKq-landscapes; connected graph; conquest-of-the-waters; evolvability; fitness landscape; invasion-of-the-land; local search heuristics; natural evolution; neutral search processes; scuba diving metaphor; scuba search heuristic; Digital circuits; Encoding; Evolutionary computation; Genetic mutations; Genetic programming; Network topology; Robots; Switches; Technological innovation; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN
0-7803-8515-2
Type
conf
DOI
10.1109/CEC.2004.1330960
Filename
1330960
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