Name
Title | ||
|---|---|---|
MEMPSODE: A global optimization software based on hybridization of population-based algorithms and local searches. |
Abstract | ||
|---|---|---|
We present MEMPSODE, a global optimization software tool that integrates two prominent population-based stochastic algorithms, namely Particle Swarm Optimization and Differential Evolution, with well established efficient local search procedures made available via the Merlin optimization environment. The resulting hybrid algorithms, also referred to as Memetic Algorithms, combine the space exploration advantage of their global part with the efficiency asset of the local search, and as expected they have displayed a highly efficient behavior in solving diverse optimization problems. The proposed software is carefully parametrized so as to offer complete control to fully exploit the algorithmic virtues. It is accompanied by comprehensive examples and a large set of widely used test functions, including tough atomic cluster and protein conformation problems. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.cpc.2012.01.010 | Computer Physics Communications |
Keywords | Field | DocType |
Global optimization,Particle swarm optimization,Differential evolution,Memetic algorithms,Local search,Merlin optimization environment | Probabilistic-based design optimization,Mathematical optimization,Derivative-free optimization,Global optimization,Computer science,Meta-optimization,Test functions for optimization,Algorithm,Multi-swarm optimization,Local search (optimization),Metaheuristic | Journal |
Volume | Issue | ISSN |
183 | 5 | 0010-4655 |
Citations | PageRank | References |
12 | 0.66 | 25 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Constantinos Voglis | 1 | 21 | 2.30 |
| Konstantinos E. Parsopoulos | 2 | 199 | 16.50 |
| Dimitris G. Papageorgiou | 3 | 27 | 2.95 |
| Isaac E. Lagaris | 4 | 109 | 12.73 |
| M.N. Vrahatis | 5 | 1740 | 151.65 |