DocumentCode
1712384
Title
Inductive search
Author
Bilchev, George ; Parmee, Ian
Author_Institution
Eng. Design Centre, Plymouth Univ., UK
fYear
1996
Firstpage
832
Lastpage
836
Abstract
In this paper, we propose a novel global optimization technique inspired by the process of natural evolution. The employed analogy is that of searching from the simple to the complex, i.e. evolving solutions to problems with gradually increased complexity. The algorithm is applied to the test functions of the First International Contest on Evolutionary Optimization, which was held during this conference
Keywords
computational complexity; genetic algorithms; inference mechanisms; problem solving; search problems; evolutionary optimization algorithm; global optimization technique; inductive search; natural evolution; problem solutions evolution; simple-to-complex search stategy; test functions; Algorithm design and analysis; Cost function; Design engineering; Design optimization; Evolutionary computation; Input variables; Organisms; Sampling methods; Search problems; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
Conference_Location
Nagoya
Print_ISBN
0-7803-2902-3
Type
conf
DOI
10.1109/ICEC.1996.542709
Filename
542709
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