Development of Hybrid Algorithm Based on PSO and NN to Solve Economic Emission Dispatch Problem

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ISSN Print: 2153-1285
ISSN Online: 2153-1293
www.scirp.org/journal/cs
E-mail: cs@scirp.org

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"Development of Hybrid Algorithm Based on PSO and NN to Solve Economic Emission Dispatch Problem"
written by R. Leena Rose, B. Dora Arul Selvi, R. Lal Raja Singh,
published by Circuits and Systems, Vol.7 No.9, 2016

has been cited by the following article(s):

[1]	Developing Chaotic Artificial Ecosystem-Based Optimization Algorithm for Combined Economic Emission Dispatch
	2021

[2]	Neural Network dan Particle Swam Optimization untuk Penunjang Keputusan Antipasi Mahasiswa Pra Lulus Bekerja Sesuai Bidang
	MATRIK: Jurnal …, 2021

[3]	The Optimization of Neural Network Based PSO Feature Selection in the Classification of Graduates Working According to Their Field
	2nd Borobudur International Symposium on Science …, 2021

[4]	Multi-objective Differential-Based Brain Storm Optimization for Environmental Economic Dispatch Problem
	2019

[5]	Economic Dispatch Considering Emissions Using Moth Flame Optimization and Bat Hybrid Algorithm
	2018

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[1]	Developing Chaotic Artificial Ecosystem-Based Optimization Algorithm for Combined Economic Emission Dispatch IEEE Access, 2021 DOI:10.1109/ACCESS.2021.3066914

[2]	Brain Storm Optimization Algorithms Adaptation, Learning, and Optimization, 2019 DOI:10.1007/978-3-030-15070-9_4