Paper Info
Title
An improved self-adaptive differential evolution algorithm in single objective constrained real-parameter optimization
Abstract
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 ϵ 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.
Year
DOI
Venue
2010
10.1109/CEC.2010.5585931
IEEE Congress on Evolutionary Computation
Keywords
Field
DocType
evolutionary computation,optimisation,ϵ level controlling,CEC 2010 competition,improved selfadaptive differential evolution algorithm,single objective constrained real-parameter optimization
Mathematical optimization,Local optimum,Computer science,Meta-optimization,Evolutionary computation,Artificial intelligence,Population-based incremental learning,Machine learning,Benchmark (computing),Encoding (memory),Constrained optimization,Scalability
Conference
ISBN
Citations 
PageRank 
978-1-4244-6909-3
20
0.73
References 
Authors
18
3
Name
Order
Citations
PageRank
Janez Brest1219090.76
Boškovič, B.2200.73
Viljem Zumer326821.78