A simple and efficient algorithm based on evolutionary strategies is proposed for the solution
of the economic dispatch (ED) problem with noncontinuous and nonsmooth/nonconvex cost …

The objective of this paper is to evolve simple and effective methods for the economic load
dispatch (ELD) problem with security constraints in thermal units, which are capable of …

Economic dispatch (ED) problems have recently been solved by artificial neural network
approaches. Systems based on artificial neural networks have high computational rates due …

This paper proposes a new Hybrid Particle Swarm Optimization (HPSO) method that
integrates the Evolutionary Programming (EP) and Particle Swarm Optimization (PSO) …

The present book is based on my nonlinear programming text in Portuguese “Introdução à
Programação Não Linear”, edited by the publisher of the University of Brasilia (Editora UnB) …

Economic Dispatch Problem (EDP) has been discussed with reference to the developments
based on Artificial Neural Networks (ANN) approaches. A selected survey/overview on …

This paper presents an Improved Particle Swarm Optimization (IPSO) to solve the Economic
Dispatch (ED) problem with line flow constraints, bus voltage limits and generator operating …

This paper proposes a Hybrid Particle Swarm Optimization (HPSO) method that integrates
the best features of Particle Swarm Optimization (PSO) and the Evolutionary Programming …

Problemas de Despacho Econômico (DE) têm sido resolvidos por redes neurais artificiais.
As redes neurais envolvem estruturas massivamente paralelas não necessitam de …

DC têm sido resolvidos por vários métodos de otimização convencionais. Quando a
modelagem do FPO DC envolve funções descontínuas ou não diferenciáveis, a utilização …