An improved self-adaptive differential evolution algorithm in single objective constrained real-parameter optimization

In this paper we describe an improved version of self-adaptive differential evolution algorithm. Our algorithm uses more strategies, ageing mechanism to reinitialize an individual which stagnates in local optima, an ∊ level controlling of constraint violation. The performance of the proposed algorithm is evaluated on the set of 18 scalable benchmark functions provided for the CEC 2010 competition and special session on single objective constrained real-parameter optimization, when the dimension of decision variables is set to 10 and 30, respectively. The obtained results show that our algorithm is suitable for solving constrained optimization problems.