Since their introduction, Estimation of Distribution Algorithms (EDAs) have proved to be very competitive algorithms to solve many optimization problems. However, despite recent developments, in the case of permutation-based combinatorial optimization problems, there are still many aspects that deserve further research. One of them is the influence of the codification employed to represent the solutions on the overall performance of the algorithm. When considering classical EDAs, optimizing permutation problems is challenging, and specific mechanisms are needed to hold the restrictions associated with the permutation nature of solutions.In this paper, in addition to the permutation-vector codification, we investigate alternative representat...
Optimization is to find the ”best ” solution to a problem where the quality of a solution can be mea...
International audienceThis paper studies an evolutionary representation/crossover combination for pe...
The challenges of solving problems naturally represented as permutations by Estimation of Distributi...
Estimation of Distribution Algorithms (EDAs) are a set of algorithms that belong to the field of Ev...
Permutation problems are combinatorial optimization problems whose solutions are naturally codified ...
Estimation of Distribution Algorithms have been successfully used to solve permutation-based Combina...
Abstract. In IDEAs, the probability distribution of a selection of so-lutions is estimated each gene...
Solving permutation optimization problems is an important and open research question. Using continuo...
The recently introduced Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) family, which includ...
Estimation of Distribution Algorithms have been successfully used for solving many combinatorial opt...
This paper summaries our recent work on combining estimation of distribution algorithms (EDA) and ot...
Abstract: This paper summaries our recent work on combining estimation of distribution algorithms (E...
This chapter serves as an introduction to estimation of distribution algorithms (EDAs). Estimation o...
In this paper, we introduce the ICE framework in which crossover from genetic algorithms (GAs) is in...
Gene-pool Optimal Mixing Evolutionary Algorithms (GOMEAs) have been shown to achieve state-of-the-ar...
Optimization is to find the ”best ” solution to a problem where the quality of a solution can be mea...
International audienceThis paper studies an evolutionary representation/crossover combination for pe...
The challenges of solving problems naturally represented as permutations by Estimation of Distributi...
Estimation of Distribution Algorithms (EDAs) are a set of algorithms that belong to the field of Ev...
Permutation problems are combinatorial optimization problems whose solutions are naturally codified ...
Estimation of Distribution Algorithms have been successfully used to solve permutation-based Combina...
Abstract. In IDEAs, the probability distribution of a selection of so-lutions is estimated each gene...
Solving permutation optimization problems is an important and open research question. Using continuo...
The recently introduced Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) family, which includ...
Estimation of Distribution Algorithms have been successfully used for solving many combinatorial opt...
This paper summaries our recent work on combining estimation of distribution algorithms (EDA) and ot...
Abstract: This paper summaries our recent work on combining estimation of distribution algorithms (E...
This chapter serves as an introduction to estimation of distribution algorithms (EDAs). Estimation o...
In this paper, we introduce the ICE framework in which crossover from genetic algorithms (GAs) is in...
Gene-pool Optimal Mixing Evolutionary Algorithms (GOMEAs) have been shown to achieve state-of-the-ar...
Optimization is to find the ”best ” solution to a problem where the quality of a solution can be mea...
International audienceThis paper studies an evolutionary representation/crossover combination for pe...
The challenges of solving problems naturally represented as permutations by Estimation of Distributi...