Multi-objective Seismic Design Optimization of Structures: A Review

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 31(2), P. 579 - 594

Published: Sept. 5, 2023

Language: Английский

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Equilibrium optimiser tuned frequency-shifted internal model control proportional-derivative decoupled dual-loop design for industrial plants followed by experimental validation

International Journal of Systems Science, Journal Year: 2024, Volume and Issue: 55(14), P. 2874 - 2896

Published: June 10, 2024

Language: Английский

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Complementary assessment and design optimization of a hybrid renewable energy system integrated with open-loop pumped hydro energy storage

Renewable Energy, Journal Year: 2024, Volume and Issue: 227, P. 120557 - 120557

Published: April 23, 2024

Language: Английский

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Impact of load flow and network reconfiguration for unbalanced distribution systems

Measurement Sensors, Journal Year: 2024, Volume and Issue: 32, P. 101078 - 101078

Published: March 5, 2024

This study focuses on mitigating power losses within unbalanced radial distribution networks by employing transformer modeling and network reconfiguration. The process commences with load flow analysis, utilizing a simplified three-phase method tailored for (URDNs) featuring voltage-dependent loads. Using vector data fundamental electric circuit the algorithm efficiently resolves voltage magnitude equations, conserving memory resources, accurately identifies buses branches downstream from designated bus. circumvents repetitive identification issues inherent in conventional forward-backward sweep approaches. proposed methodology demonstrates robust convergence when applied to URDNs realistic resistance/reactance ratios has been rigorously tested 19-bus 25-bus networks. Evaluation criteria encompass CPU execution time iteration benchmarks. Leveraging empirical formulas, this achieves optimal designs characterized improved profiles reduced losses. An asymmetric program is employed compare bus voltages system losses, facilitating informed switch operation decisions allowing elimination of feeder sectionalizing actions. approach streamlines processing eliminating switching procedures successfully validated using URDN samples. work distinguishes itself through its efficiency, necessitating fewer operations compared existing methodologies.

Language: Английский

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Surrogate-assisted metaheuristics for the facility location problem with distributed demands on network edges

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 188, P. 109931 - 109931

Published: Jan. 24, 2024

Language: Английский

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A performance comparison of eight meta-heuristic algorithms for the optimal design of large-scale truss structures

Journal of the Brazilian Society of Mechanical Sciences and Engineering, Journal Year: 2025, Volume and Issue: 47(3)

Published: Feb. 12, 2025

Language: Английский

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Optimizing Intrusion Detection in Wireless Sensor Networks via the Improved Chameleon Swarm Algorithm for Feature Selection

IET Communications, Journal Year: 2025, Volume and Issue: 19(1)

Published: Jan. 1, 2025

ABSTRACT In this paper, the improved chameleon swarm algorithm (ICSA) enhances exploration–exploitation balance while optimizing feature subset selection. The integration of Lévy flight‐based exploration refines ICSA's search strategy, complemented by rotation‐type refinement and adaptive parameter‐setting mechanisms. These modifications ensure that aligns effectively with selection process, leading to a more efficient approach. To evaluate effectiveness, it is tested on NSL‐KDD benchmark, well‐established dataset in intrusion detection systems. Performance assessed based key metrics, including accuracy, rate, false alarm execution time, number selected features. Comparative analysis against six advanced classifiers demonstrates ICSA achieves superior results minimal computational overhead. attains highest accuracy (97.91%) rate (98.75%), fastest lowest (0.0021), eliminating need for excessive confirm modifying mechanisms within significantly efficiency performance, as validated through rigorous experimental testing at classifier level.

Language: Английский

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Atom search optimization: a systematic review of current variants and applications

Knowledge and Information Systems, Journal Year: 2025, Volume and Issue: unknown

Published: April 12, 2025

Language: Английский

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Elite‐guided equilibrium optimiser based on information enhancement: Algorithm and mobile edge computing applications

CAAI Transactions on Intelligence Technology, Journal Year: 2024, Volume and Issue: unknown

Published: April 1, 2024

Abstract The Equilibrium Optimiser (EO) has been demonstrated to be one of the metaheuristic algorithms that can effectively solve global optimisation problems. Balancing paradox between exploration and exploitation operations while enhancing ability jump out local optimum are two key points addressed in EO research. To alleviate these limitations, an variant named adaptive elite‐guided (AEEO) is introduced. Specifically, search mechanism enhances balance exploitation. modified mutualism phase reinforces information interaction among particles optima avoidance. cooperation mechanisms boosts overall performance basic EO. AEEO subjected competitive experiments with state‐of‐the‐art on 23 classical benchmark functions IEE CEC 2017 function test suite. Experimental results demonstrate outperforms several well‐performing variants, DE PSO SSA GWO variants terms convergence speed accuracy. In addition, algorithm used for edge server (ES) placement problem mobile computing (MEC) environments. experimental show author’s approach representative approaches compared access latency deployment cost.

Language: Английский

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Tournament based equilibrium optimization for minimizing energy consumption on dynamic task scheduling in cloud-edge computing

Cluster Computing, Journal Year: 2024, Volume and Issue: 27(6), P. 8001 - 8013

Published: April 5, 2024

Language: Английский

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