Listar ITIS - Artículos por autor "Chicano-García, José-Francisco"
Mostrando ítems 1-7 de 7
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Automatizing Software Cognitive Complexity Reduction
Saborido Infantes, Rubén; Ferrer-Urbano, Francisco Javier; Chicano-García, José-Francisco; Alba-Torres, Enrique (IEEE Access, 2022-01-20)We model the cognitive complexity reduction of a method as an optimization problem where the search space contains all sequences of Extract Method refactoring opportunities. We then propose a novel approach that searches ... -
Dynastic Potential Crossover Operator
An optimal recombination operator for two parent solutions provides the best solution among those that take the value for each variable from one of the parents (gene transmission property). If the solutions are bit strings, ... -
EARMO: An Energy-Aware Refactoring Approach for Mobile Apps
Morales, Rodrigo; Saborido Infantes, Rubén; Khomh, Foutse; Chicano-García, José-Francisco; Antoniol, Giuliano (IEEE, 2018)The energy consumption of mobile apps is a trending topic and researchers are actively investigating the role of coding practices on energy consumption. Recent studies suggest that design choices can conflict with energy ... -
Effective anytime algorithm for multiobjective combinatorial optimization problems
Domínguez-Ríos, Miguel Ángel; Alba-Torres, Enrique; Chicano-García, José-Francisco; Alba-Torres, Enrique (Elsevier, 2021-07)In multiobjective optimization, the result of an optimization algorithm is a set of efficient solutions from which the decision maker selects one. It is common that not all the efficient solutions can be computed in a short ... -
Facing robustness as a multi-objective problem: A bi-objective shortest path problem in smart regions
Cintrano López, Christian; Chicano-García, José-Francisco; Alba-Torres, Enrique (Elsevier, 2019-11)The goal in Robust Optimization is to optimize not only the quality of the solutions but also the variation of this quality with the uncertain parameters of the optimization problem. We propose a robust model for the ... -
NK Hybrid Genetic Algorithm for Clustering
The NK hybrid genetic algorithm for clustering is proposed in this paper. In order to evaluate the solutions, the hybrid algorithm uses the NK clustering validation criterion 2 (NKCV2). NKCV2 uses information about the ... -
Using metaheuristics for the location of bicycle stations
Cintrano López, Christian; Chicano-García, José-Francisco; Alba-Torres, Enrique (Elsevier, 2020)In this work, we solve the problem of finding the best locations to place stations for depositing/collecting shared bicycles. To do this, we model the problem as the p-median problem, that is a major existing localization ...