55 citations · 306 across the 25 of their papers we have counts for
6 papers · 1 filter
Limited Perfect Monotonical Surrogates constructed using low-cost recursive linkage discovery with guaranteed output
M. W. Przewozniczek, F. Chicano, R. Tinós +1
Surrogates provide a cheap solution evaluation and offer significant leverage for optimizing computationally expensive problems. Usually, surrogates only approximate the original f…
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…
Iterated Local Search with Linkage Learning
Renato Tinós, Michal W. Przewozniczek, Darrell Whitley +1
In pseudo-Boolean optimization, a variable interaction graph represents variables as vertices, and interactions between pairs of variables as edges. In black-box optimization, the…
CMSA algorithm for solving the prioritized pairwise test data generation problem in software product lines
Javier Ferrer, Francisco Chicano, José Antonio Ortega Toro
In Software Product Lines (SPLs) it may be difficult or even impossible to test all the products of the family because of the large number of valid feature combinations that may ex…
Efficient Hill-Climber for Multi-Objective Pseudo-Boolean Optimization
Francisco Chicano, Darrell Whitley, Renato Tinos
Local search algorithms and iterated local search algorithms are a basic technique. Local search can be a stand along search methods, but it can also be hybridized with evolutionar…
Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance
Francisco Chicano, Fabio Daolio, Gabriela Ochoa +3
Recent developments in fitness landscape analysis include the study of Local Optima Networks (LON) and applications of the Elementary Landscapes theory. This paper represents a fir…