Advances in Artificial Rabbits Optimization: A Comprehensive Review

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 7, 2024

Language: Английский

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Hybrid Modified Chimp Optimization Algorithm and Reinforcement Learning for Global Numeric Optimization

Journal of Bionic Engineering, Journal Year: 2023, Volume and Issue: 20(6), P. 2896 - 2915

Published: June 13, 2023

Language: Английский

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Sustainable inventory prediction with random defect and rework using Bat algorithm

RAIRO - Operations Research, Journal Year: 2023, Volume and Issue: 57(2), P. 481 - 501

Published: Feb. 1, 2023

The sustainable EPQ models that have been proposed in the inventory literature are insufficient to address practical scenario of defects manufacturing and subsequent rework for remedial actions. In this article, model with faulty products has studied. Promotional activities key factors significantly affect market demand an item. impacts random combining economic environmental elements on order quantity price promotional effort dependent addressed. Numerical illustrations along sensitivity analysis presented reveal relevancy as well computational tractability investigation. For profit optimization, a mixed integer problem formulated analyzed by using Bat meta-heuristic optimization algorithm.

Language: Английский

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A hybrid chaotic bat algorithm for optimal placement and sizing of dg units in radial distribution networks

Energy Reports, Journal Year: 2024, Volume and Issue: 12, P. 1723 - 1741

Published: Aug. 3, 2024

Language: Английский

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Evolutionary and Nature-Inspired Algorithms for Disaster-Resilient Networks

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 19, 2025

Disaster management system necessitates efficient and resilient communication networks to ensure effective emergency response recovery efforts. Disasters pose significant challenges infrastructures, often leading breakdowns in disrupting rescue relief In recent years, metaheuristic algorithms have emerged as a promising solution for optimizing various aspects of disaster scenarios. this paper, we investigate the use application addressing optimization problems that arise during operations. The key design, including victim localization, routing, coverage, resource allocation, are discussed. This study also discusses strengths limitations different Finally, it highlights recently developed models future research directions area network optimization.

Language: Английский

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An enhanced dung beetle optimizer with multiple strategies for robot path planning

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 7, 2025

In order to make up for the shortcomings of original dung beetle optimization algorithm, such as low population diversity, insufficient global exploration ability, being easy fall into local and unsatisfactory convergence accuracy, etc. An improved algorithm using hybrid multi- strategy is proposed. Firstly, cubic chaotic mapping approach used initialize improve expand search range solution space, enhance ability. Secondly, cooperative utilized strength communication between individual beetles groups in foraging stage space Thirdly, T-distribution mutation differential evolutionary variation strategies are introduced provide perturbation diversity avoid falling optimization. Fourthly, proposed algorithm(named SSTDBO) compared with other algorithms, including GODBO, QHDBO, DBO, KOA, NOA, WOA HHO, by 29 benchmark test functions CEC2017. The results show that has stronger robustness algorithm's performance substantially enhanced. Finally, applied solve real-world robot path planning engineering cases, demonstrate its effectiveness dealing real which further verified how noteworthy enhanced strategy's efficacy superiority addressing cases.

Language: Английский

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A prosperous and thorough analysis of gravity profiles for resources exploration utilizing the metaheuristic Bat Algorithm

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 10, 2025

Here, we present a remarkable methodology for unveiling subsurface structures with the potential to transform exploration of mineral and ores resources, as well study volcanic activity. By incorporating Metaheuristic Bat algorithm (MBA) second horizontal gravity gradient (SHG) employing variable window lengths, aim eliminate regional effect in data, thereby improving precision structure parameter estimation. Through rigorous evaluation on synthetic cases, have demonstrated robustness our approach its ability handle diverse geological complexities noise levels. Furthermore, method has been applied actual data from three distinct locations: Canada, India, Cuba, yielding excellent results that confirm reliability applicability real-world settings. We are confident use lengths SHG computation, coupled optimization global optimal solution via Algorithm, can significantly contribute enhanced structural hope research will inspire others explore this groundbreaking continue advancing field optimization.

Language: Английский

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IBBA: an improved binary bat algorithm for solving low and high-dimensional feature selection problems

International Journal of Machine Learning and Cybernetics, Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

Language: Английский

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Workload Prediction in Cloud Data Centers Using Complex‐Valued Spatio‐Temporal Graph Convolutional Neural Network Optimized With Gazelle Optimization Algorithm

Transactions on Emerging Telecommunications Technologies, Journal Year: 2025, Volume and Issue: 36(3)

Published: March 1, 2025

ABSTRACT Workload prediction is the necessary factor in cloud data center for maintaining elasticity and scalability of resources. However, accuracy workload very low, because redundancy, noise, low center. In this manuscript, Prediction Cloud Data Centers using Complex‐Valued Spatio‐Temporal Graph Convolutional Neural Network Optimized with Gazelle Optimization Algorithm (CVSTGCN‐WLP‐CDC) proposed. Initially, input collected from two standard datasets such as NASA Saskatchewan HTTP traces dataset. Then, preprocessing Multi‐Window Savitzky–Golay Filter (MWSGF) used to remove noise redundant data. The preprocessed fed CVSTGCN a dynamic environment. work, proposed Approach (GOA) enhance weight bias parameters. CVSTGCN‐WLP‐CDC technique executed efficacy based on structure evaluated several performances metrics accuracy, recall, precision, energy consumption correlation coefficient, sum index (SEI), root mean square error (RMSE), squared (MPE), percentage (PER). provides 23.32%, 28.53% 24.65% higher accuracy; 22.34%, 25.62%, 22.84% lower when comparing existing methods Artificial Intelligence augmented evolutionary approach espoused centres architecture (TCNN‐CDC‐WLP), Performance analysis machine learning centered techniques (PA‐BPNN‐CWPC), Machine effectual utilization centers (ARNN‐EU‐CDC) respectively.

Language: Английский

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“Advancements in Microstrip Patch Antenna Design Using Nature-Inspired Metaheuristic Optimization Algorithms: A Systematic Review”

Archives of Computational Methods in Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: March 29, 2025

Language: Английский

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