Open AccessImpact of parameter control on the performance of APSO and PSO algorithms for the CSTHTS problem: An improvement in algorithmic structure and results
Author(s) -
Muhammad Shoaib Iqbal,
Muhammad Salman Fakhar,
Syed Abdul Rahman Kashif,
Rehan Naeem,
Akhtar Rasool
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0261562
Subject(s) - algorithm , mathematical optimization , scheduling (production processes) , computer science , metaheuristic , particle swarm optimization , quadratic equation , job shop scheduling , term (time) , mathematics , schedule , physics , geometry , quantum mechanics , operating system
Cascaded Short Term Hydro-Thermal Scheduling problem (CSTHTS) is a single objective, non-linear multi-modal or convex (depending upon the cost function of thermal generation) type of Short Term Hydro-Thermal Scheduling (STHTS), having complex hydel constraints. It has been solved by many metaheuristic optimization algorithms, as found in the literature. Recently, the authors have published the best-achieved results of the CSTHTS problem having quadratic fuel cost function of thermal generation using an improved variant of the Accelerated PSO (APSO) algorithm, as compared to the other previously implemented algorithms. This article discusses and presents further improvement in the results obtained by both improved variants of APSO and PSO algorithms, implemented on the CSTHTS problem.