Enhanced Remora Optimization Algorithm for Solving Constrained Engineering Optimization Problems

Remora Optimization Algorithm (ROA) is a recent population-based algorithm that mimics the intelligent traveler behavior of Remora. However, the performance of ROA is barely satisfactory; it may be stuck in local optimal regions or has a slow convergence, especially in high dimensional complicated p...

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Bibliographic Details
Published in:Mathematics (Basel) Vol. 10; no. 10; p. 1696
Main Authors: Wang, Shuang, Hussien, Abdelazim G., Jia, Heming, Abualigah, Laith, Zheng, Rong
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.05.2022
Subjects:
adaptive dynamic probability
Algorithms
constrained engineering problems
Engineering
Evolution
Exploitation
Mathematics
metaheuristic algorithm
Optimization
Optimization algorithms
remora optimization algorithm
restart strategy
Statistical analysis
constrained engineering problems
adaptive dynamic probability
remora optimization algorithm
restart strategy
metaheuristic algorithm
ISSN:2227-7390, 2227-7390
Online Access:Get full text
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Summary:Remora Optimization Algorithm (ROA) is a recent population-based algorithm that mimics the intelligent traveler behavior of Remora. However, the performance of ROA is barely satisfactory; it may be stuck in local optimal regions or has a slow convergence, especially in high dimensional complicated problems. To overcome these limitations, this paper develops an improved version of ROA called Enhanced ROA (EROA) using three different techniques: adaptive dynamic probability, SFO with Levy flight, and restart strategy. The performance of EROA is tested using two different benchmarks and seven real-world engineering problems. The statistical analysis and experimental results show the efficiency of EROA.
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ISSN:2227-7390
2227-7390
DOI:10.3390/math10101696