Name
Abstract | ||
|---|---|---|
Electromagnetism-likeMechanism(EM) is apopulationbased optimization approach, which has been recently adapted to solve multiobjective (MO) problems (MOEM). In this work, an enhanced multiobjective Electromagnetism-like Mechanism algorithm is proposed (EMOEM). To assess this new algorithm, a comparison with MOEM algorithm is performed. Our aim is to assess the ability of both algorithms in a wide range of continuous optimization problems including benchmark problems with two and three objective functions. Experiments show that EMOEM performs better in terms of convergence and diversity when compared with theMOEM algorithm. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-662-45523-4_51 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Electromagnetism-like mechanism,Multiobjective continuous optimization | Continuous optimization,Convergence (routing),Population,Computer science,Electromagnetism,Algorithm | Conference |
Volume | ISSN | Citations |
8602 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro Carrasqueira | 1 | 8 | 1.95 |
| Maria João Alves | 2 | 171 | 17.88 |
| Carlos Henggeler Antunes | 3 | 261 | 34.75 |