Year: 2008
Type: book-chapter
Abstract: Most practical engineering optimization problems are multi-objective, i.e., their solution must consider simultaneously various performance criteria, which are often conflicting. Multi-Objective Evolutionary Algorithms (MOEAs) are particularly adequate for solving
Source: InTech eBooks
DOI: 10.5772/6127
Authors: J. Ferreira, C. M., J. A., A. Gaspar-Cunh
Institutions: University of Algarve, University of Minho
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2160502059