The optimization of nodes clustering and multi-hop routing protocol using hierarchical chimp optimization for sustainable energy efficient underwater wireless sensor networks

Wireless Networks, Год журнала: 2023, Номер 30(1), С. 233 - 252

Опубликована: Авг. 21, 2023

Язык: Английский

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Optimization of hybrid energy management system based on high-energy solid-state lithium batteries and reversible fuel cells

Energy, Год журнала: 2023, Номер 283, С. 128454 - 128454

Опубликована: Июль 25, 2023

Язык: Английский

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Enhancing Robot Path Planning through a Twin-Reinforced Chimp Optimization Algorithm and Evolutionary Programming Algorithm

IEEE Access, Год журнала: 2023, Номер unknown, С. 1 - 1

Опубликована: Ноя. 30, 2023

The importance of efficient path planning (PP) cannot be overstated in the domain robots, as it involves utilization intelligent algorithms to determine optimal trajectory for robot navigate between two given points.The main target PP is potential trajectories operating a complex environment containing various obstacles.The implementation these movements should facilitate traversing without encountering any collisions, starting from its initial location and reaching intended destination.In order address challenges associated with PP, this study applies chimp optimization algorithm (CHOA) local searching (LS) technique evolutionary programming (EPA) enhance route discovered via collection LSs.In CHOA's tendency converge minima, new updating called twin-reinforced (TR) developed.In assess effectiveness TRCHOA, we conducted comparative analysis other widely used meta-heuristic that are typically employed solving problems.Additionally, included conventional probabilistic roadmap method (PRM) our evaluation.We evaluated performances on standardized set benchmark problems.Our findings indicate TRCHOA outperforms terms performance.The evaluation encompasses several key criteria, namely length, consistency scheduled paths, time complexity, rate success.The experiments provide evidence statistically significant value enhancements obtained through proposed method.The derived compelling capacity accurately most within specified test map.

Язык: Английский

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IYDSE: Ameliorated Young’s double-slit experiment optimizer for applied mechanics and engineering

Computer Methods in Applied Mechanics and Engineering, Год журнала: 2023, Номер 412, С. 116062 - 116062

Опубликована: Май 4, 2023

Язык: Английский

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Stability Analysis, Modulation Instability, and Beta-Time Fractional Exact Soliton Solutions to the Van der Waals Equation

Mathematics, Год журнала: 2024, Номер 12(14), С. 2257 - 2257

Опубликована: Июль 19, 2024

The study consists of the distinct types exact soliton solutions to an important model called beta-time fractional (1 + 1)-dimensional non-linear Van der Waals equation. This is used explain motion molecules and materials. equation explains phase separation phenomenon. Noncovalent or dispersion forces usually have effect on structure, dynamics, stability, function materials in different branches science, including biology, chemistry, physics. Solutions are obtained, dark, dark-singular, periodic wave, singular many more wave by using modified extended tanh method. Using derivatives makes from existing solutions. gained results will be high importance interaction quantum-mechanical fluctuations, granular matters, other applications may useful fields science civil engineering, as well some basic physical ones like those studied geophysics. verified represented two-dimensional, three-dimensional, contour graphs Mathematica software. obtained newer than results. Stability analysis also performed check stability concerned model. Furthermore, modulation instability stationary helpful future studies system. In end, we can say that method straightforward dynamic, it a tool for debating tough issues wide range fields.

Язык: Английский

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Evolving chimp optimization algorithm using quantum mechanism for engineering applications: A case study on fire detection

Journal of Computational Design and Engineering, Год журнала: 2024, Номер 11(5), С. 143 - 163

Опубликована: Авг. 16, 2024

Abstract This paper introduces the Quantum Chimp Optimization Algorithm (QU-ChOA), which integrates (ChOA) with quantum mechanics principles to enhance optimization capabilities. The study evaluates QU-ChOA across diverse domains, including benchmark tests, IEEE CEC-06–2019 100-Digit Challenge, real-world problems from IEEE-CEC-2020, and dynamic scenarios IEEE-CEC-2022. Key findings highlight QU-ChOA’s competitive performance in both unimodal multimodal functions, achieving an average success rate (SR) of 88.98% various functions. demonstrates robust global search abilities, efficiently finding optimal solutions fitness evaluations (AFEs) 14 012 calculation duration 58.22 units fire detection applications. In outperforms traditional algorithms, a perfect SR 100% Challenge for several underscoring its effectiveness complex numerical optimization. Real-world applications significant improvements objective function values industrial processes, showcasing versatility applicability practical scenarios. identifies gaps existing strategies positions as novel solution these challenges. It advancements, such 20% reduction AFEs compared methods, illustrating efficiency different tasks. These results establish promising tool addressing intricate fields.

Язык: Английский

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Multiple learning neural network algorithm for parameter estimation of proton exchange membrane fuel cell models

Green Energy and Intelligent Transportation, Год журнала: 2022, Номер 2(1), С. 100040 - 100040

Опубликована: Окт. 21, 2022

Extracting the unknown parameters of proton exchange membrane fuel cell (PEMFC) models accurately is vital to design, control, and simulate actual PEMFC. In order extract PEMFC precisely, this work presents an improved version neural network algorithm (NNA), namely multiple learning (MLNNA). MLNNA, six strategies are designed based on created local elite archive global balance exploration exploitation MLNNA. To evaluate performance MLNNA first employed solve well-known CEC 2015 test suite. Experimental results demonstrate that outperforms NNA most functions. Then, used two including BCS 500 ​W model NedStack SP6 model. support superiority in parameter estimation by comparing it with 10 powerful optimization algorithms.

Язык: Английский

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ECH3OA: An Enhanced Chimp-Harris Hawks Optimization Algorithm for copyright protection in Color Images using watermarking techniques

Knowledge-Based Systems, Год журнала: 2023, Номер 269, С. 110494 - 110494

Опубликована: Март 27, 2023

Язык: Английский

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An Improved Black Widow Optimization Algorithm for Engineering Constrained Optimization Problems

IEEE Access, Год журнала: 2023, Номер 11, С. 32476 - 32495

Опубликована: Янв. 1, 2023

In solving engineering constrained optimization problems, the conventional black widow algorithm (BWOA) has some shortcomings such as insufficient robustness and slow convergence speed. Therefore, an improved (IBWOA) is proposed by combining methods of double chaotic map, Cauchy center gravity inverse difference mutation golden sine guidance strategy. Firstly, quality initial population BWOA based on map; Secondly, in order to make full use information between current optimal position thus improve accuracy, (Gold-SA) introduced update individuals; Finally, barycenter reverse differential operator employed increase diversity population, avoid local global search ability algorithm. addition, characteristics IBWOA are analyzed Markov process probability reaches 1 for globally solution. The performance was evaluated eight continuous / discrete hybrid problems typical benchmark functions. results show that can speed effectively comparing with other algorithms.

Язык: Английский

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Quantum Chimp Optimization Algorithm: A Novel Integration of Quantum Mechanics Into the Chimp Optimization Framework for Enhanced Performance

Journal of Artificial Intelligence and Soft Computing Research, Год журнала: 2024, Номер 14(4), С. 321 - 359

Опубликована: Июль 1, 2024

Abstract This research introduces the Quantum Chimp Optimization Algorithm (QChOA), a pioneering methodology that integrates quantum mechanics principles into (ChOA). By incorporating non-linearity and uncertainty, QChOA significantly improves ChOA’s exploration exploitation capabilities. A distinctive feature of is its ability to displace ’chimp,’ representing potential solution, leading heightened fitness levels compared current top search agent. Our comprehensive evaluation includes twenty- nine standard optimization test functions, thirty CEC-BC CEC06 suite, ten real-world engineering challenges, IEEE CEC 2022 competition’s dynamic problems. Comparative analyses involve four ChOA variants, three quantum-behaved algorithms, state-ofthe-art eighteen benchmarks. Employing non-parametric statistical tests (Wilcoxon rank-sum, Holm-Bonferroni, Friedman average rank tests), results show outperforms counterparts in 51 out 70 scenarios, exhibiting performance on par with SHADE CMA-ES, equivalence jDE100 DISHchain1e+12. The study underscores QChOA’s reliability adaptability, positioning it as valuable technique for diverse intricate challenges field.

Язык: Английский

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