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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 ...
Meta-heuristic approaches for a soft drink industry problem
(2008-11-24)
The present paper evaluates meta-heuristic approaches to solve a soft drink industry problem. This problem is motivated by a real situation found in soft drink companies, where the lot sizing and scheduling of raw materials ...
Quaternion-Based Backtracking Search Optimization Algorithm
(Ieee, 2019-01-01)
Fitness landscape has been one of the main limitations regarding optimization tasks. Although meta-heuristic techniques have achieved outstanding results over a large variety of problems, some issues related to the function ...
Quaternion-Based Backtracking Search Optimization Algorithm
(2019-06-01)
Fitness landscape has been one of the main limitations regarding optimization tasks. Although meta-heuristic techniques have achieved outstanding results over a large variety of problems, some issues related to the function ...
Evolutionary multi-move path-relinking for transmission network expansion planning
(2010-12-06)
This paper presents the application of a new metaheuristic algorithm to solve the transmission expansion planning problem. A simple heuristic, using a relaxed network model associated with cost perturbation, is applied to ...
Genetic algorithm of chu and beasley for static and multistage transmission expansion planning
(2006-12-01)
In this paper the genetic algorithm of Chu and Beasley (GACB) is applied to solve the static and multistage transmission expansion planning problem. The characteristics of the GACB, and some modifications that were done, ...
Creating classifier ensembles through meta-heuristic algorithms for aerial scene classification
(2020-01-01)
Convolutional Neural Networks (CNN) have been being widely employed to solve the challenging remote sensing task of aerial scene classification. Nevertheless, it is not straightforward to find single CNN models that can ...
A hybrid image restoration algorithm based on Projections onto Convex Sets and Harmony Search
(2013-09-09)
Image restoration is a research field that attempts to recover a blurred and noisy image. Since it can be modeled as a linear system, we propose in this paper to use the meta-heuristics optimization algorithm Harmony Search ...
Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning
(2021-01-01)
Machine Learning algorithms have been extensively researched throughout the last decade, leading to unprecedented advances in a broad range of applications, such as image classification and reconstruction, object recognition, ...
Enhancing Hyper-to-Real Space Projections Through Euclidean Norm Meta-heuristic Optimization
(2021-01-01)
The continuous computational power growth in the last decades has made solving several optimization problems significant to humankind a tractable task; however, tackling some of them remains a challenge due to the overwhelming ...