Name
Title | ||
|---|---|---|
Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems |
Abstract | ||
|---|---|---|
Over the last two decades, many Differential Evolution (DE) strategies have been introduced for solving Optimization Problems. Due to the variability of the characteristics in optimization problems, no single DE algorithm performs consistently over a range of problems. In this paper, for a better coverage of problem characteristics, we introduce a DE algorithm framework that uses multiple search operators in each generation. The appropriate mix of the search operators, for any given problem, is determined adaptively. The proposed algorithm has been applied to solve the set of real world numerical optimization problems introduced for a special session of CEC2011. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CEC.2011.5949732 | IEEE Congress on Evolutionary Computation |
Keywords | Field | DocType |
evolutionary computation,search problems,CEC2011 real-world numerical optimization problems,DE algorithm framework,DE strategy,differential evolution strategy,multiple search operators,multiple strategy | Mathematical optimization,Algorithm design,Computer science,L-reduction,Meta-optimization,Evolutionary computation,Differential evolution,Multi-swarm optimization,Operator (computer programming),Optimization problem | Conference |
ISSN | ISBN | Citations |
Pending | 978-1-4244-7834-7 | 29 |
PageRank | References | Authors |
0.86 | 19 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saber M. Elsayed | 1 | 74 | 2.54 |
| Ruhul A. Sarker | 2 | 115 | 5.21 |
| Essam, D.L. | 3 | 124 | 5.69 |