Improved multiobjective harmony search algorithm with application to placement and sizing of distributed generation
type: Item
instance of: scholarly article
title: Improved multiobjective harmony search algorithm with application to placement and sizing of distributed generation
zbMATH Open document ID: 1407.90303
DOI: 10.1155/2014/871540
author: Wanxing Sheng
author: Ke-yan Liu
author: Yunhua Li
author: Yuan Liu
author: Xiao-Li Meng
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: To solve the comprehensive multiobjective optimization problem, this study proposes an improved metaheuristic searching algorithm with combination of harmony search and the fast nondominated sorting approach. This is a kind of the novel intelligent optimization algorithm for multiobjective harmony search (MOHS). The detailed description and the algorithm formulating are discussed. Taking the optimal placement and sizing issue of distributed generation (DG) in distributed power system as one example, the solving procedure of the proposed method is given. Simulation result on modified IEEE 33-bus test system and comparison with NSGA-II algorithm has proved that the proposed MOHS can get promising results for engineering application.
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 7017493
Wikidata QID: Q59070301
describes a project that uses: SPEA2
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/871540
OpenAlex ID: W2120691323
description: scientific article; zbMATH DE number 7017493