Name
Title | ||
|---|---|---|
MEMPSODE: comparing particle swarm optimization and differential evolution within a hybrid memetic global optimization framework |
Abstract | ||
|---|---|---|
MEMPSODE is a recently published optimization software that implements memetic Particle Swarm Optimization and Differential Evolution approaches. It combines previously proposed variants of the two algorithms, with the Merlin optimization environment, which includes a variety of established local search methods for continuous optimization. The present study aims at comparing the performance of the memetic variants produced by the two metaheuristics within the framework of MEMPSODE. The algorithms are assessed on the noiseless testbed of the Black-Box Optimization Benchmarking 2012 workshop, providing useful insight regarding their relative efficiency and effectiveness. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2330784.2330821 | GECCO (Companion) |
Keywords | Field | DocType |
relative efficiency,differential evolution,differential evolution approach,memetic particle swarm optimization,continuous optimization,optimization software,particle swarm optimization,merlin optimization environment,black-box optimization benchmarking,present study,useful insight,hybrid memetic global optimization,established local search method,global optimization,local search | Continuous optimization,Derivative-free optimization,Mathematical optimization,Global optimization,Extremal optimization,Computer science,Test functions for optimization,Meta-optimization,Multi-swarm optimization,Artificial intelligence,Machine learning,Metaheuristic | Conference |
Citations | PageRank | References |
4 | 0.40 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Costas Voglis | 1 | 41 | 3.75 |
| Grigoris S. Piperagkas | 2 | 20 | 1.79 |
| Konstantinos E. Parsopoulos | 3 | 199 | 16.50 |
| Dimitris G. Papageorgiou | 4 | 27 | 2.95 |
| Isaac E. Lagaris | 5 | 109 | 12.73 |