Fick’s Law Algorithm: A physical law-based algorithm for numerical optimization

Knowledge-Based Systems, Journal Year: 2022, Volume and Issue: 260, P. 110146 - 110146

Published: Nov. 29, 2022

Language: Английский

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A Systematic Review of the Whale Optimization Algorithm: Theoretical Foundation, Improvements, and Hybridizations

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(7), P. 4113 - 4159

Published: May 27, 2023

Language: Английский

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Chaotic marine predators algorithm for global optimization of real-world engineering problems

Knowledge-Based Systems, Journal Year: 2022, Volume and Issue: 261, P. 110192 - 110192

Published: Dec. 15, 2022

Language: Английский

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Boosting particle swarm optimization by backtracking search algorithm for optimization problems

Swarm and Evolutionary Computation, Journal Year: 2023, Volume and Issue: 79, P. 101304 - 101304

Published: March 26, 2023

Language: Английский

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Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation

Journal of Bionic Engineering, Journal Year: 2023, Volume and Issue: 20(4), P. 1766 - 1790

Published: Feb. 7, 2023

Language: Английский

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En-MinWhale: An Ensemble Approach Based on MRMR and Whale Optimization for Cancer Diagnosis

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 113526 - 113542

Published: Jan. 1, 2023

According to the WHO, Cancer is a prominent cause of mortality worldwide, accounting for ~ 10 million fatalities at end 2020. The most common types cancers include Lung, Breast, CNS, Leukemia, Colon, and Cervical Cancer. Early detection cancer can decrease death toll. study, if identified its early stage, rate be reduced ~85%. In order reduce toll, machine learning (ML) emerges as significant solution. When it comes research with ML, biopsy microarray data come into front. less useful excludes patient's genetic information. However, due information, solution detecting disease. Dealing also has some consequences, high dimensionality one them. This article reports an ML-based ensemble model tackle issues provide effective detection. reported uses Minimum Redundancy Maximum Relevance (MRMR) feature selection algorithm. Whale Optimization Algorithm (WOA) implemented featured dataset select optimistic number features without affecting relevance. Then, four classification models, including Support Vector Machine, Decision Tree, Multi-Layer Perceptron, Random Forest, are applied base learners make initial predictions. Finally, voting technique prediction develop prediction. proposed En-MinWhale evaluated over six different datasets, Ovarian, Colon performance using 11 various evaluative parameters, accuracy, precision, specificity, sensitivity, F-β score, etc. shows 94.09%, 95.83%, 94.86%, 95.00%, 94.85%, 96.77% accuracy respectively, that outperforms other considered hybrid models help out physicians in diagnosis.

Language: Английский

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Red-tailed hawk algorithm for numerical optimization and real-world problems

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Aug. 9, 2023

This study suggests a new nature-inspired metaheuristic optimization algorithm called the red-tailed hawk (RTH). As predator, has hunting strategy from detecting prey until swoop stage. There are three stages during process. In high soaring stage, explores search space and determines area with location. low moves inside selected around to choose best position for hunt. Then, swings hits its target in stooping swooping stages. The proposed mimics prey-hunting method of solving real-world problems. performance RTH been evaluated on classes first class includes specific kinds problems: 22 standard benchmark functions, including unimodal, multimodal, fixed-dimensional multimodal IEEE Congress Evolutionary Computation 2020 (CEC2020), CEC2022. is compared eight recent algorithms confirm contribution these considered Farmland Fertility Optimizer (FO), African Vultures Optimization Algorithm (AVOA), Mountain Gazelle (MGO), Gorilla Troops (GTO), COOT algorithm, Hunger Games Search (HGS), Aquila (AO), Harris Hawks (HHO). results regarding accuracy, robustness, convergence speed. second seven engineering problems that will be investigate other published profoundly. Finally, proton exchange membrane fuel cell (PEMFC) extraction parameters performed evaluate complex problem. several papers approve performance. ultimate each ability provide higher most cases. For class, mostly got optimal solutions functions faster provided better third when resolving real word or extracting PEMFC parameters.

Language: Английский

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Pied kingfisher optimizer: a new bio-inspired algorithm for solving numerical optimization and industrial engineering problems

Neural Computing and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: May 16, 2024

Language: Английский

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Gorilla optimization algorithm combining sine cosine and cauchy variations and its engineering applications

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: March 30, 2024

Abstract To address the issues of lacking ability, loss population diversity, and tendency to fall into local extreme value in later stage optimization searching, resulting slow convergence lack exploration ability artificial gorilla troops optimizer algorithm (AGTO), this paper proposes a search that integrates positive cosine Cauchy's variance (SCAGTO). Firstly, is initialized using refractive reverse learning mechanism increase species diversity. A strategy nonlinearly decreasing weight factors are introduced finder position update coordinate global algorithm. The follower updated by introducing Cauchy variation perturb optimal solution, thereby improving algorithm's obtain solution. SCAGTO evaluated 30 classical test functions Test Functions 2018 terms speed, accuracy, average absolute error, other indexes, two engineering design problems, namely, pressure vessel problem welded beam problem, for verification. experimental results demonstrate improved significantly enhances speed exhibits good robustness. demonstrates certain solution advantages optimizing verifying superior practicality

Language: Английский

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Hybridizing of Whale and Moth-Flame Optimization Algorithms to Solve Diverse Scales of Optimal Power Flow Problem

Electronics, Journal Year: 2022, Volume and Issue: 11(5), P. 831 - 831

Published: March 7, 2022

The optimal power flow (OPF) is a practical problem in system with complex characteristics such as large number of control parameters and also multi-modal non-convex objective functions inequality nonlinear constraints. Thus, tackling the OPF becoming major priority for engineers researchers. Many metaheuristic algorithms different search strategies have been developed to solve problem. Although, majority them suffer from stagnation, premature convergence, local optima trapping during optimization process, which results producing low solution qualities, especially real-world problems. This study devoted proposing an effective hybridizing whale algorithm (WOA) modified moth-flame (MFO) named WMFO In proposed WMFO, WOA MFO cooperate effectively discover promising areas provide high-quality solutions. A randomized boundary handling used return solutions that violated permissible boundaries space. Moreover, greedy selection operator defined assess acceptance criteria new Ultimately, performance scrutinized on single multi-objective cases problems including standard IEEE 14-bus, 30-bus, 39-bus, 57-bus, IEEE118-bus test systems. obtained corroborate outperforms contender solving

Language: Английский

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