Author :
Bilchev, George ; Parmee, Ian
Author_Institution :
Eng. Design Centre, Plymouth Univ., UK
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;
Conference_Titel :
Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
Conference_Location :
Nagoya
Print_ISBN :
0-7803-2902-3
DOI :
10.1109/ICEC.1996.542709
