A Novel Improved Binary Optimization Algorithm and Its Application in FS Problems

Mathematics, Год журнала: 2025, Номер 13(4), С. 675 - 675

Опубликована: Фев. 18, 2025

With the rapid advancement of artificial intelligence (AI) technology, demand for vast amounts data training AI algorithms to attain has become indispensable. However, in realm big high feature dimensions frequently give rise overfitting issues during training, thereby diminishing model accuracy. To enhance prediction accuracy, selection (FS) methods have arisen with goal eliminating redundant features within datasets. In this paper, a highly efficient FS method advanced performance, called EMEPO, is proposed. It combines three learning strategies on basis Parrot Optimizer (PO) better ensure performance. Firstly, novel exploitation strategy introduced, which integrates randomness, optimality, and Levy flight algorithm’s local capabilities, reduce execution time solving problems, classification Secondly, multi-population evolutionary takes into account diversity individuals based fitness values optimize balance between exploration stages algorithm, ultimately improving capability explore solution space globally. Finally, unique focusing individual boost population problems. This approach improves capacity avoid suboptimal subsets. The EMEPO-based tested 23 datasets spanning low-, medium-, high-dimensional data. results show exceptional performance reduction, efficiency, convergence speed, stability. indicates promise as an effective selection.

Язык: Английский

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A parameter estimation method for neural mass model based on the improved chimp optimization algorithm and Riemannian geometry

Chaos Solitons & Fractals, Год журнала: 2025, Номер 194, С. 116219 - 116219

Опубликована: Фев. 28, 2025

Язык: Английский

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EDECO: An Enhanced Educational Competition Optimizer for Numerical Optimization Problems

Biomimetics, Год журнала: 2025, Номер 10(3), С. 176 - 176

Опубликована: Март 12, 2025

The Educational Competition Optimizer (ECO) is a newly proposed human-based metaheuristic algorithm. It derives from the phenomenon of educational competition in society with good performance. However, basic ECO constrained by its limited exploitation and exploration abilities when tackling complex optimization problems exhibits drawbacks premature convergence diminished population diversity. To this end, paper proposes an enhanced optimizer, named EDECO, incorporating estimation distribution algorithm replacing some best individual(s) using dynamic fitness distance balancing strategy. On one hand, enhances global ability improves quality establishing probabilistic model based on dominant individuals provided which solves problem that unable to search neighborhood optimal solution. other strategy increases speed balances through adaptive mechanism. Finally, conducts experiments EDECO 29 CEC 2017 benchmark functions compares four algorithms as well advanced improved algorithms. results show indeed achieves significant improvements compared algorithms, performs noticeably better than competitors. Next, study applies 10 engineering problems, experimental superiority solving real problems. These findings further support effectiveness usefulness our challenges.

Язык: Английский

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Kolmogorov-Arnold networks guided whale optimization algorithm for feature selection in medical datasets

Journal Of Big Data, Год журнала: 2025, Номер 12(1)

Опубликована: Март 21, 2025

Язык: Английский

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Advanced Speech Emotion Recognition Utilizing optimized Equivariant quantum convolutional neural network for Accurate Emotional State Classification

Knowledge-Based Systems, Год журнала: 2025, Номер unknown, С. 113414 - 113414

Опубликована: Март 1, 2025

Язык: Английский

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Integrated Optimization of Mechanical Alloying Parameters for Nanostructured Ti-Mg-Zr Alloy using Desirability Function, Educational Competition, and Grey Wolf Algorithms

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104748 - 104748

Опубликована: Март 1, 2025

Язык: Английский

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Optimized design and integration of an off-grid solar PV-biomass-battery hybrid energy system using an enhanced educational competition algorithm for cost-effective rural electrification

Journal of Energy Storage, Год журнала: 2025, Номер 120, С. 116381 - 116381

Опубликована: Апрель 9, 2025

Язык: Английский

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A Single-Objective Optimization of Water Quality Sensors in Water Distribution Networks Using Advanced Metaheuristic Techniques

Water, Год журнала: 2025, Номер 17(8), С. 1221 - 1221

Опубликована: Апрель 19, 2025

This paper explores the intersection of water quality management and advanced metaheuristic algorithms (MAs) by optimizing location sensors in urban networks. A comparative analysis ten cutting-edge MAs, Harris Hawk Optimization (HHO), Artemisinin (AO), Educational Competition Optimizer (ECO), Fata Morgana Algorithm (FATA), Moss Growth (MGO), Parrot (PO), Polar Lights (PLO), Rime (RIME), Runge Kutta (RUN), Weighted Mean Vectors (INFO), was conducted to determine their effectiveness minimizing risk contaminated consumption. Both benchmark real-world network serve as case studies assess algorithmic performance. The optimization process focuses on reducing volume treating sensor placement a critical design variable. EPANET 2.2 software integrated with simulate hydraulic behavior within obtained results from two networks revealed that newer algorithms, such RIME FATA, exhibit superior convergence rates stability compared traditional methods. While all tested demonstrated satisfactory performance, this study provides foundational insights for future research, paving way more effective solutions management.

Язык: Английский

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A Sequoia-Ecology-Based Metaheuristic Optimisation Algorithm for Multi-Constraint Engineering Design and UAV Path Planning

Results in Engineering, Год журнала: 2025, Номер unknown, С. 105130 - 105130

Опубликована: Апрель 1, 2025

Язык: Английский

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Predicting Academic Performance Levels in Higher Education: A Data-Driven Enhanced Fruit Fly Optimizer Kernel Extreme Learning Machine Model

Journal of Bionic Engineering, Год журнала: 2025, Номер unknown

Опубликована: Апрель 28, 2025

Язык: Английский

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