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Heuristic methods for the single machine scheduling problem with different ready times and a common due date
(TAYLOR & FRANCIS LTDABINGDON, 2012)
The single machine scheduling problem with a common due date and non-identical ready times for the jobs is examined in this work. Performance is measured by the minimization of the weighted sum of earliness and tardiness ...
Combined heuristic with fuzzy system to transmission system expansion planning
(ELSEVIER SCIENCE SA, 2011)
A heuristic algorithm that employs fuzzy logic is proposed to the power system transmission expansion planning problem. The algorithm is based on the divide to conquer strategy, which is controlled by the fuzzy system. The ...
A heuristic method for reactive power planning
(Institute of Electrical and Electronics Engineers (IEEE), 1996-02-01)
An approach for solving reactive power planning problems is presented, which is based on binary search techniques and the use of a special heuristic to obtain a discrete solution. Two versions were developed, one to run ...
Using Simulated Annealing with a Neighborhood Heuristic for Roll Cutting Optimization
(Revista Computación y Sistemas; Vol. 13 No.1, 2009-08-15)
Abstract This article presents the use of the Simulated Annealing algorithm with a heuristic to solve the waste minimization problem in roll cutting programming, in this case, paper. Client orders, which vary in weight, ...
Fine Tuning Deep Boltzmann Machines Through Meta-Heuristic Approaches
(Ieee, 2018-01-01)
The Deep learning framework has been widely used in different applications from medicine to engineering. However, there is a lack of works that manage to deal with the issue of hyperparameter fine-tuning, since machine ...
Meta-heuristic multi- and many-objective optimization techniques for solution of machine learning problems
(Wiley-Blackwell, 2017-12-01)
Recently, multi- and many-objective meta-heuristic algorithms have received considerable attention due to their capability to solve optimization problems that require more than one fitness function. This paper presents a ...
A heuristic method for reactive power planning
(Institute of Electrical and Electronics Engineers (IEEE), 1996-02-01)
An approach for solving reactive power planning problems is presented, which is based on binary search techniques and the use of a special heuristic to obtain a discrete solution. Two versions were developed, one to run ...
A Hybrid Heuristic and Evolutionary Algorithm for Distribution Substation Planning
(Ieee-inst Electrical Electronics Engineers Inc, 2015-12-01)
This paper presents an enhanced evolutionary algorithm to solve the static distribution substation planning problem within large distribution networks. It is based on a deterministic heuristic algorithm to find the approximate ...
Combining iterative heuristic optimization and uncertainty analysis methods for robust parameter design
(TAYLOR & FRANCIS LTD, 2006)
A number of investigators have pointed out that products and processes lack quality because of performance inconsistency, which is often due to uncontrollable parameters in the manufacturing process or product usage. Robust ...
Heuristics for minimizing the maximum within-clusters distance
(Sociedade Brasileira de Pesquisa Operacional, 2012)
The clustering problem consists in finding patterns in a data set in order to divide it into clusters with high within-cluster similarity. This paper presents the study of a problem, here called MMD problem, which aims at ...