Optimization and Decision Theory

Considers solutions of multiobjective problems through genetic algorithms, which consist of random searches in the search space marked by the restrictions, obtaining increasingly efficient solutions. In order to achieve this, two new methodologies are proposed, MOEGA and MOEGA-P.