Fitness Distance Balance Based LSHADE Algorithm for Energy Hub Economic Dispatch Problem

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Tarih

2022

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Yayıncı

Ieee-Inst Electrical Electronics Engineers Inc

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

This paper presents an improved version of Linear Population Size Reduction Success History Based Adaptive Differential Evolution (LSHADE) algorithm for solving global optimization problems. Fitness Distance Balance (FDB) selection method was used to redesign the mutation operator in order to enhance the search performance of the LSHADE algorithm. In order to test and validate the performance of the proposed algorithm, a comprehensive experimental study was carried out. For this purpose, it was tested on the CEC14 and CEC17 benchmark problems, consisting of different problem types and dimensions. Results of the FDB-LSHADE was compared to the performance of 8 other up-to-date and highly preferred metaheuristic search (MHS) algorithms. According to Friedman test results, the proposed FDBLSHADE algorithm ranked first among the all competing algorithms. Moreover, the proposed algorithm was used to solve single- and multi-objective energy hub economic dispatch (EHED) problems, which were a non-convex, a nonlinear, and high dimensional problems. To analyze the results of the proposed algorithm obtained from experimental studies, two non-parametric statistical methods, which are Wilcoxon and Friedman tests, were used. The simulation results of the proposed algorithm were compared to the results of the 8 other MHS algorithms. The results demonstrated that the FDB-LSHADE was a superior performance compared to other MHS algorithms for solving both benchmark and EHED problems.

Açıklama

Anahtar Kelimeler

Optimization; Benchmark Testing; Costs; Resistance Heating; Statistical Analysis; Genetic Algorithms; Convergence; Optimization; Metaheuristic Search Algorithms; Fitness Distance Balance; Lshade; Energy Hub Economic Dispatch, Differential Evolution Algorithm; Particle Swarm Optimization; Flow; Model; Gas

Kaynak

Ieee Access

WoS Q Değeri

Q2

Scopus Q Değeri

Q1

Cilt

10

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