Segmentation of brain MRI using an altruistic Harris Hawks’ Optimization algorithm DOI
Rajarshi Bandyopadhyay, Rohit Kundu, Diego Oliva

et al.

Knowledge-Based Systems, Journal Year: 2021, Volume and Issue: 232, P. 107468 - 107468

Published: Sept. 14, 2021

Language: Английский

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

Gang Li,

Zeng Meng

et al.

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 215, P. 119303 - 119303

Published: Nov. 19, 2022

Language: Английский

Citations

48
BWOA assisted PIDF-(1+I) controller for intelligent load frequency management of standalone micro-grid DOI Open Access
Pawan Kumar Pathak, Anil Kumar Yadav, Anshuman Shastri

et al.

ISA Transactions, Journal Year: 2022, Volume and Issue: 132, P. 387 - 401

Published: June 15, 2022

Language: Английский

Citations

42
Quantum computing and industrial information integration: A review DOI
Yang Lu,

Alexander Sigov,

Leonid Ratkin

et al.

Journal of Industrial Information Integration, Journal Year: 2023, Volume and Issue: 35, P. 100511 - 100511

Published: Aug. 23, 2023

Language: Английский

Citations

32
Shape and sizing optimisation of space truss structures using a new cooperative coevolutionary-based algorithm DOI Creative Commons
Bahareh Etaati, Mehdi Neshat, Amin Abdollahi Dehkordi

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 101859 - 101859

Published: Feb. 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.

Language: Английский

Citations

10
Uncertain Fractional-Order Multi-Objective Optimization Based on Reliability Analysis and Application to Fractional-Order Circuit with Caputo Type DOI
Ting Jin, Hongxuan Xia, Wu Deng

et al.

Circuits Systems and Signal Processing, Journal Year: 2021, Volume and Issue: 40(12), P. 5955 - 5982

Published: July 28, 2021

Language: Английский

Citations

42
MOTEO: a novel multi-objective thermal exchange optimization algorithm for engineering problems DOI
Nima Khodadadi, Siamak Talatahari, Armin Dadras Eslamlou

et al.

Soft Computing, Journal Year: 2022, Volume and Issue: 26(14), P. 6659 - 6684

Published: April 15, 2022

Language: Английский

Citations

38
Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools DOI
Paramita Basak Upama, Md Jobair Hossain Faruk,

Mohammad Nazim

et al.

2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), Journal Year: 2022, Volume and Issue: unknown, P. 520 - 529

Published: June 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.

Language: Английский

Citations

36
Improved binary gaining–sharing knowledge-based algorithm with mutation for fault section location in distribution networks DOI Creative Commons
Guojiang Xiong, Xufeng Yuan, Ali Wagdy Mohamed

et al.

Journal of Computational Design and Engineering, Journal Year: 2022, Volume and Issue: 9(2), P. 393 - 405

Published: Jan. 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

Language: Английский

Citations

33
Dynamic multi-objective intelligent optimal control toward wastewater treatment processes DOI
Yingbo Xie, Ding Wang, Junfei Qiao

et al.

Science China Technological Sciences, Journal Year: 2022, Volume and Issue: 65(3), P. 569 - 580

Published: Jan. 27, 2022

Language: Английский

Citations

32
A novel metaheuristics with adaptive neuro-fuzzy inference system for decision making on autonomous unmanned aerial vehicle systems DOI Open Access
Mahmoud Ragab, Ehab Bahaudien Ashary,

Wajdi Aljedaibi

et al.

ISA Transactions, Journal Year: 2022, Volume and Issue: 132, P. 16 - 23

Published: April 13, 2022

Language: Английский

Citations

30