55 citations · 56 across the 4 of their papers we have counts for
4 papers
On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient Influence
M. W. Przewozniczek, F. Chicano, R. Tinós +3
Gray-box optimization employs Walsh decomposition to obtain non-linear variable dependencies and utilize them to propose masks of variables that have a joint non-linear influence o…
Moving between high-quality optima using multi-satisfiability characteristics in hard-to-solve Max3Sat instances
J. Piatek, M. W. Przewozniczek, F. Chicano +1
Gray-box optimization proposes effective and efficient optimizers of general use. To this end, it leverages information about variable dependencies and the subfunction-based proble…
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…
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…