Multiobjective decomposition-based mallows models estimation of distribution algorithm. A case of study for permutation flowshop scheduling problem
Estimation of distribution algorithms (EDAs) have become a reliable alternative to solve a
broad range of single and multi-objective optimization problems. Recently, distance-based …
broad range of single and multi-objective optimization problems. Recently, distance-based …
Bayesian optimization for parameter tuning in evolutionary algorithms
Advances in evolutionary computation have demonstrated that Evolutionary Algorithms
(EAs) proposed in this area are a solid alternative for solving combinatorial and continuous …
(EAs) proposed in this area are a solid alternative for solving combinatorial and continuous …
RK-EDA: A novel random key based estimation of distribution algorithm
The challenges of solving problems naturally represented as permutations by Estimation of
Distribution Algorithms (EDAs) have been a recent focus of interest in the evolutionary …
Distribution Algorithms (EDAs) have been a recent focus of interest in the evolutionary …
Kernels of mallows models under the hamming distance for solving the quadratic assignment problem
Abstract The Quadratic Assignment Problem (QAP) is a well-known permutation-based
combinatorial optimization problem with real applications in industrial and logistics …
combinatorial optimization problem with real applications in industrial and logistics …
Mallows and generalized Mallows model for matchings
Mallows and generalized Mallows model for matchings Page 1 Bernoulli 25(2), 2019, 1160–1188
https://doi.org/10.3150/17-BEJ1017 Mallows and generalized Mallows model for matchings …
https://doi.org/10.3150/17-BEJ1017 Mallows and generalized Mallows model for matchings …
A random key based estimation of distribution algorithm for the permutation flowshop scheduling problem
Random Key (RK) is an alternative representation for permutation problems that enables
application of techniques generally used for continuous optimisation. Although the benefit of …
application of techniques generally used for continuous optimisation. Although the benefit of …
An Estimation of Distribution Algorithm for Permutation Flow-Shop Scheduling Problem
Estimation of distribution algorithms (EDAs) is a subset of evolutionary algorithms widely
used in various optimization problems, known for their favorable results. Each generation of …
used in various optimization problems, known for their favorable results. Each generation of …
Algorithm 989: perm_mateda: a matlab toolbox of estimation of distribution algorithms for permutation-based combinatorial optimization problems
Permutation problems are combinatorial optimization problems whose solutions are
naturally codified as permutations. Due to their complexity, motivated principally by the …
naturally codified as permutations. Due to their complexity, motivated principally by the …
A decomposition-based kernel of Mallows models algorithm for bi-and tri-objective permutation flowshop scheduling problem
M Zangari, AA Constantino, J Ceberio - Applied Soft Computing, 2018 - Elsevier
In the last decades, the permutation flowshop scheduling problem (PFSP) has been
thoroughly studied in combinatorial optimization and scheduling research. The most …
thoroughly studied in combinatorial optimization and scheduling research. The most …
Relational Bayesian Optimization for Permutation
BW Huang, WZ Fang, HC Liao, TL Yu - Proceedings of the Companion …, 2023 - dl.acm.org
Relational Bayesian optimization for permutation (RBOP) is a new permutation estimation of
distribution algorithm proposed in this paper. RBOP uses binary relations to represent the …
distribution algorithm proposed in this paper. RBOP uses binary relations to represent the …