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.
CITATION STYLE
Carrasqueira, P., Alves, M. J., & Antunes, C. H. (2014). An improved multiobjective electromagnetism-like mechanism algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8602, pp. 627–638). Springer Verlag. https://doi.org/10.1007/978-3-662-45523-4_51
Mendeley helps you to discover research relevant for your work.