Differential Evolution to Solve Constrained Optimisation Problems

Auteurs

  • Rosario Rascuná

DOI :

https://doi.org/10.1685/

Résumé

Differential Evolution (DE) is a population based stochastic optimisation algorithm. The aim of this work is to show how DE can be used to solve constrained optimisation problems. Penalty functions are not used and a simple feasibility rule allows to choose between feasible and non-feasible solutions. Also, equality constraints are dealt with a fixed tolerance and no extra diversity mechanism is used. This approach was tested with a well known benchmark. The results obtained outperform other state-of-art techniques in terms of quality of solutions and computational cost. [DOI: 10.1685/CSC06130] About DOI

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Publiée

2007-10-01

Numéro

Vol. 1 (2006)

Rubrique

Articles

Licence

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