A hybrid whale optimization algorithm for global optimization

Journal of Ambient Intelligence and Humanized Computing, Journal Year: 2021, Volume and Issue: 14(1), P. 431 - 467

Published: May 28, 2021

Language: Английский

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Boosting Whale Optimizer with Quasi-Oppositional Learning and Gaussian Barebone for Feature Selection and COVID-19 Image Segmentation

Journal of Bionic Engineering, Journal Year: 2022, Volume and Issue: 20(2), P. 797 - 818

Published: Nov. 28, 2022

Language: Английский

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An improved moth flame optimization algorithm based on modified dynamic opposite learning strategy

Artificial Intelligence Review, Journal Year: 2022, Volume and Issue: 56(4), P. 2811 - 2869

Published: Aug. 16, 2022

Language: Английский

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Hybrid leader based optimization: a new stochastic optimization algorithm for solving optimization applications

Scientific Reports, Journal Year: 2022, Volume and Issue: 12(1)

Published: April 1, 2022

In this paper, a new optimization algorithm called hybrid leader-based (HLBO) is introduced that applicable in challenges. The main idea of HLBO to guide the population under guidance leader. stages are modeled mathematically two phases exploration and exploitation. efficiency tested by finding solutions twenty-three standard benchmark functions different types unimodal multimodal. results indicate high exploitation ability local search for better convergence global optimal, while multimodal show accurately scan areas space. addition, performance on solving IEEE CEC 2017 including thirty objective evaluated. handling complex functions. quality obtained from compared with ten well-known algorithms. simulation superiority solution as well passage optimally localized space competing implementation four engineering design issues demonstrates applicability real-world problem solving.

Language: Английский

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HSWOA: An ensemble of hunger games search and whale optimization algorithm for global optimization

International Journal of Intelligent Systems, Journal Year: 2021, Volume and Issue: 37(1), P. 52 - 104

Published: Sept. 13, 2021

The search for food stimulated by hunger is a common phenomenon in the animal world. Mimicking concept, recently, an optimization algorithm Hunger Games Search (HGS) has been proposed global optimization. On other side, Whale Optimization Algorithm (WOA) commonly utilized nature-inspired portrayed straightforward construction with easy parameters imitating hunting behavior of humpback whales. However, due to minimum exploration space, WOA high chance trapping into local solutions, and more exploitation leads it towards premature convergence. concept from HGS merged searching techniques whale lessen inherent drawbacks WOA. Two weights are adaptively designed every using respective level balancing strategies. Performance verification search-based (HSWOA) done comparing 10 state-of-the-art algorithms, including three very recently developed algorithms on 30 classical benchmark functions. Comparison some basic modified variants performed IEEE CEC 2019 function set. Statistical performance verified Friedman's test, boxplot analysis, Nemenyi multiple comparison test. operating speed determined tested complexity analysis convergence analysis. Finally, seven real-world engineering problems solved compared list metaheuristic algorithms. Numerical statistical confirms efficacy newly algorithm.

Language: Английский

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Multi-population improved whale optimization algorithm for high dimensional optimization

Applied Soft Computing, Journal Year: 2021, Volume and Issue: 112, P. 107854 - 107854

Published: Aug. 28, 2021

Language: Английский

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A heuristic whale optimization algorithm with niching strategy for global multi-dimensional engineering optimization

Computers & Industrial Engineering, Journal Year: 2022, Volume and Issue: 171, P. 108361 - 108361

Published: June 30, 2022

Language: Английский

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Multi-objective optimization of dynamic construction site layout using BIM and GIS

Journal of Building Engineering, Journal Year: 2022, Volume and Issue: 52, P. 104518 - 104518

Published: April 15, 2022

Language: Английский

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Optimal guidance whale optimization algorithm and hybrid deep learning networks for land use land cover classification

EURASIP Journal on Advances in Signal Processing, Journal Year: 2023, Volume and Issue: 2023(1)

Published: Jan. 25, 2023

Abstract Satellite Image classification provides information about land use cover (LULC) and this is required in many applications such as Urban planning environmental monitoring. Recently, deep learning techniques were applied for satellite image achieved higher efficiency. The existing have limitations of overfitting problems due to the convolutional neural network (CNN) model generating more features. This research proposes optimal guidance-whale optimization algorithm (OG-WOA) technique select relevant features reduce problem. guidance increases exploitation search by changing position agent related best fitness value. increase helps avoid problems. input images are normalized AlexNet–ResNet50 feature extraction. OG-WOA extracted Finally, selected processed using Bi-directional long short-term memory (Bi-LSTM). proposed OG-WOA–Bi-LSTM has an accuracy 97.12% on AID, 99.34% UCM, 96.73% NWPU, SceneNet 89.58% 95.21 NWPU dataset.

Language: Английский

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An enhanced seagull optimization algorithm for solving engineering optimization problems

Applied Intelligence, Journal Year: 2022, Volume and Issue: 52(11), P. 13043 - 13081

Published: Feb. 21, 2022

Language: Английский

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