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Genetic algorithm, MIP and improvement heuristic applied to the MLCLP with backlogging
(2013-08-21)
The present paper solves the multi-level capacitated lot sizing problem with backlogging (MLCLSPB) combining a genetic algorithm with the solution of mixed-integer programming models and the improvement heuristic fix and ...
Genetic algorithm, MIP and improvement heuristic applied to the MLCLP with backlogging
(2013-08-21)
The present paper solves the multi-level capacitated lot sizing problem with backlogging (MLCLSPB) combining a genetic algorithm with the solution of mixed-integer programming models and the improvement heuristic fix and ...
Adaptive Hybrid Genetic Algorithm for Technical Loss Reduction in Distribution Networks Under Variable Demands
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2009)
A Hybrid Approach using Progressive and Genetic Algorithms for Improvements in Multiple Sequence Alignments
(Scitepress, 2021-01-01)
The multiple sequence alignment is one of the main tasks in bioinformatics. It is used in different important biological analysis, such as function and structure prediction of unknown proteins. There are several approaches ...
Hybrid evolutionary algorithm for the Capacitated Centered Clustering Problem
(Pergamon-Elsevier B.V. Ltd, 2011-05-01)
The Capacitated Centered Clustering Problem (CCCP) consists of defining a set of p groups with minimum dissimilarity on a network with n points. Demand values are associated with each point and each group has a demand ...
Hybrid evolutionary algorithm for the Capacitated Centered Clustering Problem
(Pergamon-Elsevier B.V. Ltd, 2011-05-01)
The Capacitated Centered Clustering Problem (CCCP) consists of defining a set of p groups with minimum dissimilarity on a network with n points. Demand values are associated with each point and each group has a demand ...
A Hybrid Genetic Algorithm using Progressive Alignment and Consistency based Approach for Multiple Sequence Alignments
(Scitepress, 2022-01-01)
The multiple sequence alignment is one of the most important tasks in bioinformatics, since it allows to analyze multiple sequences at the same time. There are many approaches for this problem such as heuristics and ...
A Hybrid Heuristic Approach to Solve the Multi Level Capacitated Lot Sizing Problem
(Ieee, 2011-01-01)
This paper presents preliminary results found by a hybrid heuristic applied to solve the Multi-Level Capacitated Lot Sizing Problem (MLCLSP). The proposed method combines a multi-population genetic algorithm and fix-and-optimize ...
A hybrid heuristic approach to solve the multi level capacitated lot sizing problem
(2011-08-29)
This paper presents preliminary results found by a hybrid heuristic applied to solve the Multi-Level Capacitated Lot Sizing Problem (MLCLSP). The proposed method combines a multi-population genetic algorithm and fix-and-optimize ...
Genetic Algorithm, MIP and Improvement Heuristic Applied to the MLCLP with Backlogging
(Ieee, 2013-01-01)
The present paper solves the multi-level capacitated lot sizing problem with backlogging (MLCLSPB) combining a genetic algorithm with the solution of mixed-integer programming models and the improvement heuristic fix and ...