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The integrated lot sizing and cutting stock problem in a furniture factory
(2013-08-08)
This work studies the integrated lot sizing and cutting stock problem, where the goal is to capture the dependency that exists between two important decisions in the production process, in order to economize raw materials ...
Beam search algorithms for minimizing tool switches on a flexible manufacturing system
(2009-12-01)
In the minimization of tool switches problem we seek a sequence to process a set of jobs so that the number of tool switches required is minimized. In this work different variations of a heuristic based on partial ordered ...
Optimizing feature selection through binary charged system search
(2013-09-26)
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be inviable for a ...
Optimizing Feature Selection through Binary Charged System Search
(Springer, 2013-01-01)
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be inviable for a ...
Optimal Distribution Network Reconfiguration with Distributed Generation using a Genetic Algorithm
(2019-09-01)
This paper presents the develop of a computational tool for solve the distribution network reconfiguration problem considering the power losses minimization and distributed generation. The proposed tool satisfies the ...
A combinatorial approach for transmission expansion & reactive power planning
(2011-05-31)
A metaheuristic technique for solving the short-term transmission network expansion and reactive power planning problems, at the same time, in regulated power systems using the AC model is presented. The problem is solved ...
BBA: A binary bat algorithm for feature selection
(2012-12-01)
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be in-viable for a ...
Design and analysis of neural networks for systems optimization
(1999-12-01)
Artificial neural networks are dynamic systems consisting of highly interconnected and parallel nonlinear processing elements that are shown to be extremely effective in computation. This paper presents an architecture of ...