Opposition-based learning equilibrium optimizer with Levy flight and evolutionary population dynamics for high-dimensional global optimization problems

Expert Systems with Applications, Год журнала: 2022, Номер 215, С. 119303 - 119303

Опубликована: Ноя. 19, 2022

Язык: Английский

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BWOA assisted PIDF-(1+I) controller for intelligent load frequency management of standalone micro-grid

ISA Transactions, Год журнала: 2022, Номер 132, С. 387 - 401

Опубликована: Июнь 15, 2022

Язык: Английский

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Quantum computing and industrial information integration: A review

Journal of Industrial Information Integration, Год журнала: 2023, Номер 35, С. 100511 - 100511

Опубликована: Авг. 23, 2023

Язык: Английский

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Shape and sizing optimisation of space truss structures using a new cooperative coevolutionary-based algorithm

Results in Engineering, Год журнала: 2024, Номер 21, С. 101859 - 101859

Опубликована: Фев. 5, 2024

Optimising the shape and size of large-scale truss frames is challenging because there a nonlinear interaction between cross-sectional nodal coordinate forces structures. Meanwhile, combining bar variables creates multi-modal search space with dynamic constraints, making an expensive optimisation engineering problem. Besides, most real problems are large-scale, algorithms faced issue scalability by increasing This paper proposed novel Cooperative Coevolutionary marine predators algorithm combined greedy (CCMPA-GS) for on sizing. The used divide-and-conquer technique to optimise separately. Therefore, in each iteration, CCMPA-GS focuses initially then switches bars tries find best cooperative combination solutions current population using context vector (CV). A embedded following fix remaining violations from structure's stress displacement. alternative strategy compared 13 established genetic, evolutionary, swarm, memetic meta-heuristic algorithms. comparison based optimising two structures consisting 260-bar 314-bar configurations. Experimental results demonstrate that method consistently outperforms other methods, delivering optimal designs superior 52 % 63.4 %, respectively. signifies substantial enhancement performance, highlighting potential as powerful field structural optimisation.

Язык: Английский

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Uncertain Fractional-Order Multi-Objective Optimization Based on Reliability Analysis and Application to Fractional-Order Circuit with Caputo Type

Circuits Systems and Signal Processing, Год журнала: 2021, Номер 40(12), С. 5955 - 5982

Опубликована: Июль 28, 2021

Язык: Английский

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MOTEO: a novel multi-objective thermal exchange optimization algorithm for engineering problems

Soft Computing, Год журнала: 2022, Номер 26(14), С. 6659 - 6684

Опубликована: Апрель 15, 2022

Язык: Английский

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Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools

2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), Год журнала: 2022, Номер unknown, С. 520 - 529

Опубликована: Июнь 1, 2022

Quantum Computing (QC) refers to an emerging paradigm that inherits and builds with the concepts phenomena of Mechanic (QM) significant potential unlock a remarkable opportunity solve complex computationally intractable problems scientists could not tackle previously. In recent years, tremendous efforts progress in QC mark milestone solving real-world much more efficiently than classical computing technology. While considerable is being made move quantum research need be devoted this domain from idea working paradigm. paper, we conduct systematic survey categorize papers, tools, frameworks, platforms facilitate analyze them application perspective. We present Layers, Characteristics Computer platforms, Circuit Simulator, Open-source Tools- Cirq, TensorFlow Quantum, ProjectQ etc. allow implementing programs Python using powerful intuitive syntax. Following that, discuss current essence, identify open challenges, provide future direction. conclude scores tools are emerged past few improvement currently available facilities would exploit activities community.

Язык: Английский

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Improved binary gaining–sharing knowledge-based algorithm with mutation for fault section location in distribution networks

Journal of Computational Design and Engineering, Год журнала: 2022, Номер 9(2), С. 393 - 405

Опубликована: Янв. 10, 2022

Abstract Fault section location (FSL) plays a critical role in shortening blackout time and restoring power supply for distribution networks. This paper converts the FSL task into binary optimization problem using feeder terminal unit (FTU) information. The discrepancy between reported overcurrent alarms expected states of FTUs is adopted as objective function. It typical 0–1 combinatorial with many local optima. An improved gaining–sharing knowledge-based algorithm (IBGSK) mutation proposed to effectively solve this challenging problem. Since original GSK cannot be applied search space directly, it easy get stuck optima, IBGSK encodes individuals vectors instead real vectors. Moreover, an junior gaining sharing phase senior are designed update directly space. Furthermore, operator presented integrated enhance its global ability. two test systems, i.e. IEEE 33-bus network USA PG&E 69-bus network. Simulation results indicate that outperforms other 12 advanced algorithms solution quality, robustness, convergence speed, statistics. equilibrates ability effectively. can diagnose different fault scenarios 100% 99% success rates these respectively. Besides, effect probability on also investigated, result suggests moderate value. Overall, simulation demonstrate shows highly promising potential

Язык: Английский

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Dynamic multi-objective intelligent optimal control toward wastewater treatment processes

Science China Technological Sciences, Год журнала: 2022, Номер 65(3), С. 569 - 580

Опубликована: Янв. 27, 2022

Язык: Английский

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A novel metaheuristics with adaptive neuro-fuzzy inference system for decision making on autonomous unmanned aerial vehicle systems

ISA Transactions, Год журнала: 2022, Номер 132, С. 16 - 23

Опубликована: Апрель 13, 2022

Язык: Английский

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