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Optimal Performance of Doubly Fed Induction Generator Wind Farm Using Multi-Objective Genetic Algorithm
The main purpose of this paper is allowing doubly fed induction generator wind farms (DFIG), which are connected to power system, to effectively participate in feeding electrical loads. The oscillation in power system is ...
Coordinated Tuning of a Group of Static Var Compensators Using Multi-Objective Genetic Algorithm
(Centro Latinoamericano de Estudios en Informática, 2011)
Proposal and Comparative Study of Evolutionary Algorithms for Optimum Design of a Gear System
(Institute of Electrical and Electronics Engineers, 2019-12)
This paper proposes a novel metaheuristic framework using a Differential Evolution (DE) algorithm with the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Both algorithms are combined employing a collaborative strategy ...
Multiobjective short-term planning of electric power distribution systems using NSGA-II
(2013-06-01)
This paper presents a mixed integer nonlinear programming multiobjective model for short-term planning of distribution networks that considers in an integrated manner the following planning activities: allocation of capacitor ...
Multiobjective short-term planning of electric power distribution systems using NSGA-II
(2013-06-01)
This paper presents a mixed integer nonlinear programming multiobjective model for short-term planning of distribution networks that considers in an integrated manner the following planning activities: allocation of capacitor ...
Multi-objective clustering ensemble for gene expression data analysis
(ELSEVIER SCIENCE BV, 2009)
In this paper, we present an algorithm for cluster analysis that integrates aspects from cluster ensemble and multi-objective clustering. The algorithm is based on a Pareto-based multi-objective genetic algorithm, with a ...