189 citations · 390 across the 15 of their papers we have counts for
16 papers
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…
Multiobjective Evolutionary Component Effect on Algorithm behavior
Yuri Lavinas, Marcelo Ladeira, Gabriela Ochoa +1
The performance of multiobjective evolutionary algorithms (MOEAs) varies across problems, making it hard to develop new algorithms or apply existing ones to new problems. To simpli…
Phenotype Search Trajectory Networks for Linear Genetic Programming
Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf
Genotype-to-phenotype mappings translate genotypic variations such as mutations into phenotypic changes. Neutrality is the observation that some mutations do not lead to phenotypic…
Component-wise Analysis of Automatically Designed Multiobjective Algorithms on Constrained Problems
Yuri Lavinas, Marcelo Ladeira, Gabriela Ochoa +1
The performance of multiobjective algorithms varies across problems, making it hard to develop new algorithms or apply existing ones to new problems. To simplify the development an…
Search Trajectories Networks of Multiobjective Evolutionary Algorithms
Yuri Lavinas, Claus Aranha, Gabriela Ochoa
Understanding the search dynamics of multiobjective evolutionary algorithms (MOEAs) is still an open problem. This paper extends a recent network-based tool, search trajectory netw…
Local Optima Networks: A New Model of Combinatorial Fitness Landscapes
Gabriela Ochoa, Sébastien Verel, Fabio Daolio +1
This chapter overviews a recently introduced network-based model of combinatorial landscapes: Local Optima Networks (LON). The model compresses the information given by the whole s…