Journal Article10.1007/s00521-023-08287-5
A modified whale optimization algorithm with multi-strategy mechanism for global optimization problems
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TL;DR: A Modified Whale Optimization Algorithm with multi-strategy mechanism, which introduces the elite reverse learning strategy, nonlinear convergence factor, DE/rand/1 mutation strategy and Lévy flight disturbance strategy to improve the efficiency of WOA.
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About: This article is published in Neural Computing and Applications. The article was published on 27 Jan 2023. The article focuses on the topics: Benchmark (surveying) & Computer science.
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Citations
A Systematic Review of the Whale Optimization Algorithm: Theoretical Foundation, Improvements, and Hybridizations
TL;DR: The WOA is critically analyzed, then the last 5 years' developments of WOA are systematically reviewed, and effective techniques for improving and successful algorithms for hybridizing eligible WOA variants are described.
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AFOX: a new adaptive nature-inspired optimization algorithm
Hosam Alrahhal,Razan A. Jamous +1 more
TL;DR: A novel nature-based metaheuristic optimization algorithm called Adaptive Fox Optimization (AFOX) Algorithm, inspired by the hunting behavior of foxes is proposed, which is deemed to be highly efficient in solving real-world optimization problems with accuracy and speed.
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The Whale Optimization Algorithm in Abrasive Water Jet Machining of Tool Steel
TL;DR: This study explores the application of Whale Optimization Algorithm in abrasive waterjet machining of tool steel, optimizing control parameters using Response Surface Methodology to achieve maximum efficiency and comparing results with experimental values.
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Determination of difluoromethane (R32) by non-dispersive infrared (NDIR) spectroscopy with temperature compensation by an improved whale optimization algorithm (IWOA)
Jintao Liang,Liang Wu,Liru Wang,Guiyin Li,Tie Zhang,Yonghuai Zhang,Jiayang Zhang +6 more
- 24 Nov 2023
TL;DR: A temperature compensation method based on IWOA-BPNN is proposed to reduce the influence of temperature on R32 gas sensors using NDIR spectroscopy. The method significantly improves the accuracy of the sensor.
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A Review of Optimal Design for Large-Scale Micro-Irrigation Pipe Network Systems
Yafei Wang,Yangkai Zhang,Wenjuan Wang,Zhengguang Liu,Xingjiao Yu,Henan Li,Wene Wang,Xiaotao Hu +7 more
TL;DR: A review of optimal design for large-scale micro-irrigation pipe network systems focusing on model development, optimization techniques, and future directions. The paper covers design considerations, optimization methods, and case studies for achieving minimum safe operation and cost reduction.
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