1. A variant of competitive differential evolution algorithm with exponential crossover
- Creator:
- Poláková , Radka
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- Global optimization, differential evolution, competition of control parameter settings, and numerical comparison
- Language:
- English
- Description:
- The differential evolution (DE) algorithm is a powerful population-based stochastic technique to search for global optimum in the continuous search space. Success of DE algorithm strongly depends on choosing its parameters. The competition in differential evolution was shown to be an efficient instrument to avoid time-consuming process of tuning control parameters. A new variant of competitive DE algorithm, called BEBERAN, was proposed and tested on benchmark functions at four levels of the search space dimension. The BEBERAN was compared with the most promising competitive variant, DEBR18. BEBERAN, in contrast to DEBR18, includes in addition the exponential crossover.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public