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Toward a more Generalized Quantum-Inspired Evolutionary Algorithm for Combinatorial Optimization Problems
(IEEE Computer Society, 2017)
In this paper, a generalization of the original Quantum-Inspired Evolutionary Algorithm (QIEA): the Generalized Quantum-Inspired Evolutionary Algorithm (GQIEA) is proposed. Like QIEA, GQIEA is also based on the quantum ...
Multiarea Optimal Power Flow using Multiobjective Evolutionary algorithm
(Ieee, 2009-01-01)
In this work the multiarea optimal power now (OPF) problem is decoupled into areas creating a set of regional OPF subproblems. The objective is to solve the optimal dispatch of active and reactive power for a determined ...
Synthesis of porous-acoustic absorbing systems by an evolutionary optimization method
(Taylor & Francis LtdAbingdonInglaterra, 2010)
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 smooth evolutionary structural optimization procedure applied to plane stress problem
(Elsevier B.V., 2014-09-15)
Topological optimization problems based on stress criteria are solved using two techniques in this paper. The first technique is the conventional Evolutionary Structural Optimization (ESO), which is known as hard kill, ...
Application of Multiobjective Evolutionary Techniques for Robust Portfolio Optimization
On December 20 of 2012 Sandra García Rodríguez defended his PhD at Carlos III of Madrid (Spain), called: “Application of Multiobjective Techniques for Robust Portfolio Optimization”. This thesis was supervised by Dr. David ...
FP-AK-QIEA-R for Multi-Objective optimization
(Association for Computing Machinery, 2016)
The Evolutionary Algorithms have main features like: population, evolutionary operations (crossover, mate, mutation and others). Most of them are based on randomness and follow a criteria using fitness like selector. The ...
Multi-objective evolutionary particle swarm optimization in the assessment of the impact of distributed generation
(Elsevier B.V. Sa, 2012-08-01)
This paper proposes a multi-objective approach to a distribution network planning process that deals with the challenges derived from the integration of Distributed Generation (DG). The proposal consists of a multi-objective ...
Multi-objective evolutionary particle swarm optimization in the assessment of the impact of distributed generation
(Elsevier B.V. Sa, 2012-08-01)
This paper proposes a multi-objective approach to a distribution network planning process that deals with the challenges derived from the integration of Distributed Generation (DG). The proposal consists of a multi-objective ...