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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 ...
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 ...
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 ...
A Heuristic for Optimization of Metaheuristics by Means of Statistical Methods
(Scitepress, 2017-01-01)
The fine-tuning of the algorithms parameters, specially, in metaheuristics, is not always trivial and often is performed by ad hoc methods according to the problem under analysis. Usually, incorrect settings influence both ...
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 ...
Co-reference Analysis Through Descriptor Combination
(Springer, 2018-01-01)
NELL (Never-Ending Language Learning) is the first never-ending learning system presented in the literature. It has been modeled to create a knowledge based on an autonomous way, reading the web 24 hours per day, 7 days ...
Enhancing brain storm optimization through optimum-path forest
(2018-08-20)
Among the many interesting meta-heuristic optimization algorithms, one can find those inspired by both the swarm and social behavior of human beings. The Brain Storm Optimization (BSO) is motivated by the brainstorming ...
Harnessing Particle Swarm Optimization Through Relativistic Velocity
(Ieee, 2020-01-01)
In the last century, Albert Einstein's perceptions of the world afforded a revolution in the understanding of the universe. In his theory of general relativity, he describes the space-time continuum, a concept capable of ...
Optimal location of FACTS devices for generation costs reduction and stability enhancement
(2014-11-10)
This research proposes a new approach for the problem of FACTS equipment optimal location in a transmission system. SVC and TCSC devices help to increase the controllability of flow over the lines and at the same time ...
Fine-Tuning Infinity Restricted Boltzmann Machines
(Ieee, 2017-01-01)
Restricted Boltzmann Machines (RBMs) have received special attention in the last decade due to their outstanding results in number of applications, such as face and human motion recognition, and collaborative filtering, ...