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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Non-dominated Sorting Advanced Butterfly Optimization Algorithm for Multi-objective Problems

Journal of Bionic Engineering, Journal Year: 2022, Volume and Issue: 20(2), P. 819 - 843

Published: Nov. 22, 2022

Language: Английский

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Binary Approaches of Quantum-Based Avian Navigation Optimizer to Select Effective Features from High-Dimensional Medical Data

Mathematics, Journal Year: 2022, Volume and Issue: 10(15), P. 2770 - 2770

Published: Aug. 4, 2022

Many metaheuristic approaches have been developed to select effective features from different medical datasets in a feasible time. However, most of them cannot scale well large datasets, where they fail maximize the classification accuracy and simultaneously minimize number selected features. Therefore, this paper is devoted developing an efficient binary version quantum-based avian navigation optimizer algorithm (QANA) named BQANA, utilizing scalability QANA effectively optimal feature subset high-dimensional using two approaches. In first approach, several versions are S-shaped, V-shaped, U-shaped, Z-shaped, quadratic transfer functions map continuous solutions canonical ones. second mapped space by converting each variable 0 or 1 threshold. To evaluate proposed algorithm, first, all assessed on with varied sizes, including Pima, HeartEW, Lymphography, SPECT Heart, PenglungEW, Parkinson, Colon, SRBCT, Leukemia, Prostate tumor. The results show that BQANA approach superior other find datasets. Then, was compared nine well-known algorithms, were statistically Friedman test. experimental statistical demonstrate has merit for selection

Language: Английский

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Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 227, P. 120367 - 120367

Published: May 6, 2023

Language: Английский

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Modified Whale Optimization Algorithm based ANN: a novel predictive model for RO desalination plant

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

Published: Feb. 18, 2023

In recent decades, nature-inspired optimization methods have played a critical role in helping industrial plant designers to find superior solutions for process parameters. According the literature, such are simple, quick, and indispensable saving time, money, energy. this regard, Modified Whale Optimization Algorithm (MWOA) hybridized with Artificial Neural Networks (ANN) has been employed Reverse Osmosis (RO) desalination performance estimate permeate flux (0.118‒2.656 L/h m2). The plant's datasets collected from literature include four input parameters: feed flow rate (400‒600 L/h), evaporator inlet temperature (60‒80 °C), salt concentration (35‒140 g/L) condenser (20‒30 °C). For purpose, ten predictive models (MWOA-ANN Model-1 Model-10) proposed, which capable of predicting more accurate (L/h m2) than existing (Response Surface Methodology (RSM), ANN hybrid WOA-ANN models) minimum errors. Simulation results suggest that MWOA algorithm demonstrates stronger capability finding correct weights biases so as enable based modeling without limitation overfitting. Ten MWOA-ANN (Model-1 proposed investigate performance. Model-6 single hidden layer (H = 1), eleven nodes (n 11) thirteen search agents (SA 13) produced most outstanding regression (R2 99.1%) minimal errors (MSE 0.005). residual also found be within limits (span - 0.1 0.2). Finally, findings show screened promising identifying best parameters order assist designers.

Language: Английский

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Renal Pathology Images Segmentation Based on Improved Cuckoo Search with Diffusion Mechanism and Adaptive Beta-Hill Climbing

Journal of Bionic Engineering, Journal Year: 2023, Volume and Issue: 20(5), P. 2240 - 2275

Published: May 3, 2023

Language: Английский

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Improving Whale Optimization Algorithm with Elite Strategy and Its Application to Engineering-Design and Cloud Task Scheduling Problems

Cognitive Computation, Journal Year: 2023, Volume and Issue: 15(5), P. 1497 - 1525

Published: Jan. 23, 2023

Language: Английский

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A novel whale optimization algorithm of path planning strategy for mobile robots

Applied Intelligence, Journal Year: 2022, Volume and Issue: 53(9), P. 10843 - 10857

Published: Aug. 26, 2022

Language: Английский

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A mixed sine cosine butterfly optimization algorithm for global optimization and its application

Cluster Computing, Journal Year: 2022, Volume and Issue: 25(6), P. 4573 - 4600

Published: Aug. 11, 2022

Language: Английский

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Improved Beluga Whale Optimization for Solving the Simulation Optimization Problems with Stochastic Constraints

Mathematics, Journal Year: 2023, Volume and Issue: 11(8), P. 1854 - 1854

Published: April 13, 2023

Simulation optimization problems with stochastic constraints are deterministic cost functions subject to constraints. Solving the considered problem by traditional approaches is time-consuming if search space large. In this work, an approach integration of beluga whale and ordinal presented resolve in a relatively short time frame. The proposed composed three levels: emulator, diversification, intensification. Firstly, polynomial chaos expansion treated as emulator evaluate design. Secondly, improved seek N candidates from whole space. Eventually, advanced optimal computational effort allocation adopted determine superior design candidates. utilized number service providers for minimizing staffing costs while delivering specific level care emergency department healthcare. A practical example six cases used verify approach. CPU consumes less than one minute cases, which demonstrates that can meet requirement real-time application. addition, compared five heuristic methods. Empirical tests indicate efficiency robustness

Language: Английский

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