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20112026
most citedNK Hybrid Genetic Algorithm for Clustering

55 citations · 306 across the 25 of their papers we have counts for

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7 papers · 1 filter

cs.NE2024

Generalizing and Unifying Gray-box Combinatorial Optimization Operators

Francisco Chicano, Darrell Whitley, Gabriela Ochoa +1

Gray-box optimization leverages the information available about the mathematical structure of an optimization problem to design efficient search operators. Efficient hill climbers…

cs.NE2024★ 26 cited

Effective anytime algorithm for multiobjective combinatorial optimization problems

Miguel Ángel Domínguez-Ríos, Francisco Chicano, Enrique Alba

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 eff…

cs.NE2024★ 30 cited

Using metaheuristics for the location of bicycle stations

Christian Cintrano, Francisco Chicano, Enrique Alba

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 probl…

cs.NE2024

Dynastic Potential Crossover Operator

Francisco Chicano, Gabriela Ochoa, Darrell Whitley +1

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 p…

cs.NE2024★ 55 cited

NK Hybrid Genetic Algorithm for Clustering

Renato Tinós, Liang Zhao, Francisco Chicano +1

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 (NK…

cs.NE2022

Optimising Communication Overhead in Federated Learning Using NSGA-II

José Ángel Morell, Zakaria Abdelmoiz Dahi, Francisco Chicano +2

Federated learning is a training paradigm according to which a server-based model is cooperatively trained using local models running on edge devices and ensuring data privacy. The…