55 citations · 61 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
Feature learning in feature-sample networks using multi-objective optimization
Filipe Alves Neto Verri, Renato Tinós, Liang Zhao
Data and knowledge representation are fundamental concepts in machine learning. The quality of the representation impacts the performance of the learning model directly. Feature le…
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…
Optimal Neuron Selection: NK Echo State Networks for Reinforcement Learning
Darrell Whitley, Renato Tinós, Francisco Chicano
This paper introduces the NK Echo State Network. The problem of learning in the NK Echo State Network is reduced to the problem of optimizing a special form of a Spin Glass Problem…