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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 ...
Parallelization of the Apriori Algorithm for the Search of Frequent Elements
(Universidad Nacional Micaela Bastidas de Apurímac, 2020-03-20)
There is a wide variety of techniques that increase application performance by alleviating one or more of the most important problems with today's processors. In this work, the execution time, speedup and efficiency of the ...
An implementation of modified scatter search algorithm to transmission expansion planning
(Tubitak Scientific & Technical Research Council Turkey, 2014)
A Randomized O(log N) -competitive Algorithm For The Online Connected Facility Location Problem
(SpringerNew York, 2016)
Solving biobjective set covering problem using binary cat swarm optimization algorithm
(Springer Verlag, 2016)
ERNEAD: Training of Artificial Neural Networks Based on a Genetic Algorithm and Finite Automata Theory
(Editorial Board, 2018)
This paper presents a variation in the algorithm EMODS (Evolutionary Metaheuristic of Deterministic Swapping), at the level of its mutation stage in order to train algorithms for
each problem. It should be noted that the ...
Using traditional heuristic algorithms on an initial genetic algorithm population applied to the transmission expansion planning problem
(Univ Nac Colombia, Fac Ingenieria, 2011-04-01)
This paper analyses the impact of choosing good initial populations for genetic algorithms regarding convergence speed and final solution quality. Test problems were taken from complex electricity distribution network ...
String-averaging expectation-maximization for maximum likelihood estimation in emission tomography
(Iop Publishing Ltd, 2014-05-01)
We study the maximum likelihood model in emission tomography and propose a new family of algorithms for its solution, called string-averaging expectation maximization (SAEM). In the string-averaging algorithmic regime, the ...
Using traditional heuristic algorithms on an initial genetic algorithm population applied to the transmission expansion planning problem
(Univ Nac Colombia, Fac Ingenieria, 2011-04-01)
This paper analyses the impact of choosing good initial populations for genetic algorithms regarding convergence speed and final solution quality. Test problems were taken from complex electricity distribution network ...