Aurora Trinidad Ramirez Pozo

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The problem known as CAITO refers to the determination of an order to integrate and test modules that minimizes stubbing costs. Search based algorithms have been used, mainly evolutionary ones. However, the problem is very complex since it involves different factors associated to the stubbing process, such as complexity measures, contractual issues and so(More)
—A well-known problem faced by Pareto Based Multi Objective Optimization Algorithms, including Multi-Objective Particle Swarm Optimization (MOPSO) algorithms is the deterioration of its search ability when the number of objectives scales up. In the literature some techniques were proposed to overcome these limitations, between them the modification of the(More)