- Title
- An adaptive differential evolution algorithm
- Creator
- Noman, Nasimul; Bollegala, Danushka; Iba, Hitoshi
- Relation
- 2011 IEEE Congress of Evolutionary Computation (CEC). Proceedings of the 2011 IEEE Congress of Evolutionary Computation (New Orleans, LA 5-8 June, 2011) p. 2229-2236
- Publisher Link
- http://dx.doi.org/10.1109/CEC.2011.5949891
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2011
- Description
- The performance of Differential Evolution (DE) algorithm is significantly affected by its parameter setting. But the choice of parameters is heavily dependent on the problem characteristics. Therefore, recently a couple of adaptation schemes that automatically adjust DE parameters have been proposed. The current work presents another adaptation scheme for DE parameters namely amplification factor and crossover rate. We systematically analyze the effectiveness of the proposed adaptation scheme for DE parameters using a standard benchmark suite consisting of ten functions. The undertaken empirical study shows that the proposed adaptive DE (aDE) algorithm exhibits an overall better performance compared to other prominent adaptive DE algorithms as well as canonical DE.
- Subject
- evolutionary computation; adaptive differential evolution algorithm; amplification factor; crossover rate
- Identifier
- http://hdl.handle.net/1959.13/1057559
- Identifier
- uon:16209
- Identifier
- ISBN:9781424478347
- Language
- eng
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