Modified Student Psychology Based Optimization Algorithm for Economic Dispatch Problems

This manuscript develops and suggests modified student psychology-based optimization (MSPBO) algorithm to the convoluted economic dispatch problem. The psychology of the students who provide more attempts to perk up their recital in the exam equal to the echelon for turn out to be the best student i...

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Main Authors: Subhamay Basu, Mousumi Basu
Format: Article
Language:English
Published: Taylor & Francis Group 2021-12-01
Series:Applied Artificial Intelligence
Online Access:http://dx.doi.org/10.1080/08839514.2021.1985050
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author Subhamay Basu
Mousumi Basu
author_facet Subhamay Basu
Mousumi Basu
author_sort Subhamay Basu
collection DOAJ
description This manuscript develops and suggests modified student psychology-based optimization (MSPBO) algorithm to the convoluted economic dispatch problem. The psychology of the students who provide more attempts to perk up their recital in the exam equal to the echelon for turn out to be the best student in the class forms the basis of student psychology-based optimization (SPBO) algorithm. In this manuscript, MSPBO has been suggested to improve convergence speed and better-quality solutions. The efficacy of MSPBO algorithm has been divulged on five different economic dispatch problems incorporating valve-point consequence, proscribed feasible area, ramp rate borders, and manifold fuels. Simulation outcomes of the recommended method are matched up toward those attained as of other affirmed artificial intelligence methods. It is viewed from the assessment that suggested MSPBO is capable of giving better results.
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spelling doaj.art-95648278905d4bd6bc619c38773c49e32023-09-15T09:33:59ZengTaylor & Francis GroupApplied Artificial Intelligence0883-95141087-65452021-12-0135151508152810.1080/08839514.2021.19850501985050Modified Student Psychology Based Optimization Algorithm for Economic Dispatch ProblemsSubhamay Basu0Mousumi Basu1Techno Main Salt Lake, Maulana Abul Kalam Azad University of TechnologyJadavpur UniversityThis manuscript develops and suggests modified student psychology-based optimization (MSPBO) algorithm to the convoluted economic dispatch problem. The psychology of the students who provide more attempts to perk up their recital in the exam equal to the echelon for turn out to be the best student in the class forms the basis of student psychology-based optimization (SPBO) algorithm. In this manuscript, MSPBO has been suggested to improve convergence speed and better-quality solutions. The efficacy of MSPBO algorithm has been divulged on five different economic dispatch problems incorporating valve-point consequence, proscribed feasible area, ramp rate borders, and manifold fuels. Simulation outcomes of the recommended method are matched up toward those attained as of other affirmed artificial intelligence methods. It is viewed from the assessment that suggested MSPBO is capable of giving better results.http://dx.doi.org/10.1080/08839514.2021.1985050
spellingShingle Subhamay Basu
Mousumi Basu
Modified Student Psychology Based Optimization Algorithm for Economic Dispatch Problems
Applied Artificial Intelligence
title Modified Student Psychology Based Optimization Algorithm for Economic Dispatch Problems
title_full Modified Student Psychology Based Optimization Algorithm for Economic Dispatch Problems
title_fullStr Modified Student Psychology Based Optimization Algorithm for Economic Dispatch Problems
title_full_unstemmed Modified Student Psychology Based Optimization Algorithm for Economic Dispatch Problems
title_short Modified Student Psychology Based Optimization Algorithm for Economic Dispatch Problems
title_sort modified student psychology based optimization algorithm for economic dispatch problems
url http://dx.doi.org/10.1080/08839514.2021.1985050
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