Title :
Enhanced competitive differential evolution for constrained optimization
Author :
Tvrdík, Josef ; Poláková, Radka
Author_Institution :
Dept. of Comput. Sci., Univ. of Ostrava, Ostrava, Czech Republic
Abstract :
The constrained optimization with differential evolution (DE) is addressed. A novel variant of competitive differential evolution with a hybridized search of feasibility region is proposed, where opposition-based optimization and adaptive controlled random search are combined. Various variants of the algorithm are experimentally compared on the benchmark set developed for the special session of IEEE Congress of Evolutionary Computation (CEC) 2010. The results of the enhanced competitive DE show effective search of feasible solutions, in difficult problems significantly better than the competitive DE variant presented at CEC 2010.
Keywords :
constraint handling; evolutionary computation; random processes; search problems; adaptive controlled random search; constrained optimization; enhanced competitive differential evolution; hybridized search; opposition based optimization; Aerospace electronics; Benchmark testing; Heuristic algorithms; Minimization; Optimization; Process control; Tuning;
Conference_Titel :
Computer Science and Information Technology (IMCSIT), Proceedings of the 2010 International Multiconference on
Conference_Location :
Wisla
Print_ISBN :
978-1-4244-6432-6
DOI :
10.1109/IMCSIT.2010.5680058
