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Multi Objective Evolutionary Algorithm Applied to the Optimal Power Flow Problem
(Institute of Electrical and Electronics Engineers (IEEE), 2010-06-01)
This work presents the application of a multiobjective evolutionary algorithm (MOEA) for optimal power flow (OPF) solution. The OPF is modeled as a constrained nonlinear optimization problem, non-convex of large-scale, ...
A computational multi-objective optimization method to improve energy efficiency and thermal comfort in dwellings
(Elsevier Science Sa, 2017-11)
In the last years, multi-objective optimization techniques became into one of the main challenges of the building energy efficiency area. The objective of this paper is to develop and validate a computational code for ...
Optimal Power Dispatch of Renewable and NonRenewable Generation through a Second-Order Conic Model
(2021-01-01)
This work presents an extension of a second-order conic programming model (SOCP) to handle the multi-objective optimal power dispatch problem considering the probabilistic nature of some parameters related to power demand ...
Multi-objective optimization for parameter selection andcharacterization of optical flow methods
(Elsevier, 2016)
tOptical flow methods are among the most accurate techniques for estimating displacement and velocityfields in a number of applications that range from neuroscience to robotics. The performance of any opticalflow method ...
Single, multi- and many-objective meta-heuristic algorithms applied to pattern recognition
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2019-07-10)
In the last few years, metaheuristic algorithms have been used for solving several problems in engineering, biology, physics, among others, since many of them can be modeled as being optimization tasks. Metaheuristic methods ...
Robust Multi-Stage Substation Expansion Planning Considering Stochastic Demand
(Ieee-inst Electrical Electronics Engineers Inc, 2016-05-01)
This paper presents a novel mixed-integer secondorder cone programming model for the robust multi-stage substation expansion planning problem considering stochastic demand. The stochastic nature of the demands is considered ...
A multi-objective artificial butterfly optimization approach for feature selection
(2020-09-01)
Feature selection plays an essential role in machine learning since high dimensional real-world datasets are becoming more popular nowadays. The very basic idea consists in selecting a compact but representative set of ...
Pruning Optimum-Path Forest Classifiers Using Multi-Objective Optimization
(Ieee, 2017-01-01)
Multi-objective optimization plays an important role when one has fitness functions that are somehow conflicting with each other. Also, parameter-dependent machine learning techniques can benefit from such optimization ...