- Title
- A new hybrid method combining genetic algorithm and coordinate search method
- Creator
- Long, Qiang; Huang, Junjian
- Date
- 2012
- Type
- Text; Conference proceedings
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/56770
- Identifier
- vital:4919
- Identifier
-
https://doi.org/10.1109/ICACI.2012.6463337
- Abstract
- This paper proposed a new hybrid method combining genetic algorithm(GA) and coordinate search method (CSM). Genetic algorithm is good at global exploration but bad at accuracy and local search. Whereas, coordinate search method is good at local exploitation, and its accuracy is reliable when searching in a local area. Thus we combine those two methods in this paper to design a hybrid method called genetic algorithm with coordinate search (GACS). Experimental tests shows that this method are good at both global search and local accuracy. © 2012 IEEE.
- Publisher
- Nanjing, China IEEE
- Rights
- Copyright 2012 IEEE
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- Experimental test; Global exploration; Global search; Hybrid method; Local areas; Local search; Search method; Artificial intelligence; Genetic algorithms
- Full Text
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