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Conventional and Metaheuristic Optimization Algorithms for Solving Short Term Hydrothermal Scheduling Problem: A Review
2021
IEEE Access
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This article presents a comprehensive review of research published for solving the STHTS problem in the last four decades. ...
INTERIOR POINT (IP) ALGORITHMS APPLIED ON STHTS PROBLEM According to [2], reference [52], implemented the primal-dual IP algorithm to solve the CSTHTS problem on Brazilian 25998 VOLUME 9, 2021 ...
Ltd. and Shark Innovation Labs for sponsoring in establishing the Power Systems Simulation Research Lab at University of Engineering and Technology, Lahore. This research was conducted in this lab. ...
doi:10.1109/access.2021.3055292
fatcat:xnb7xfhvgbht3diqqnht633b6u
Industrial applications of soft computing: a review
2001
Proceedings of the IEEE
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Fuzzy logic (FL), neural networks (NN), and evolutionary computation (EC) are the core methodologies of soft computing. ...
This paper reviews applications of SC in several industrial fields to show the various innovations by TR, HMIQ, and low cost in industries that have been made possible by the use of SC. ...
Their method is better than other methods for dealing with nonconvex, nonlinear, and large mixed optimization problems. ...
doi:10.1109/5.949483
fatcat:erzs7fqa35dixgm7mq2efptpai
Computational Intelligence in Modeling Complex Systems and Solving Complex Problems
2019
Complexity
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implementation of a simple CI approach (the model and algorithm representing a Mamdanitype fuzzy system). ...
of complex problems. e three main components of CI are fuzzy systems, evolutionary and population based algorithms, and artificial neural networks. ...
Processes of decision-making in industrial settings are covered in the paper entitled A Binary Cuckoo Search Big Data Algorithm Applied to Large-Scale Crew Scheduling Problems by J. ...
doi:10.1155/2019/7606715
fatcat:setdeojh3fcafmqtajsomnzagm
Sizing, optimization, control and energy management of hybrid renewable energy system- a review
2021
Energy and Built Environment
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This review focuses on four essential categories of hybrid renewable energy system which is sizing (using software or using traditional methods), optimization (classical, artificial and hybrid methods) ...
Highlights A review of the latest studies published in a hybrid renewable energy system This review focuses on sizing, optimization, control, and energy management The latest published methods are ...
Several types of algorithm are used by researchers to find optimum sizing for hybrid system like genetic algorithm [40] , multi-objective self-adaptive differential evolution algorithm (MOSaDE) [41] ...
doi:10.1016/j.enbenv.2021.04.002
fatcat:b3fwcnbfivgrljnaz6kglt6qse
A Review On Applications Of Evolutionary Algorithms To Reservoir Operation For Hydropower Production
2015
Zenodo
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This review includes the discussion on areas such as genetic algorithm, differential evolution, and reservoir operation. It also identified the research gaps discovered in these areas. ...
This paper presents a review of the applications of evolutionary algorithms to reservoir operation for hydropower production. ...
The primary model involves fuzzy resources, second model considers fuzzy technological factors and third model reflects both one and two models. ...
doi:10.5281/zenodo.1109761
fatcat:mvcgur2eufechejakezuqkxeia
A Meta-heuristic based approach for QoS-Aware Service Composition
2020
IEEE Access
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However, such approach has intrinsic drawbacks and usually lack of good performance in large-scale scenarios. ...
For solving those problems which were commonly faced when applying meta-heuristic algorithm on QWSC, in this research, we firstly introduce a preprocessing approach for constructing fuzzy continuous neighborhood ...
In [36] , proposed a modified Artificial Bee Colony(mABC) algorithm by incorporating chaotic-based opposition learning method and differential evolution strategies into the artificial bee colony. ...
doi:10.1109/access.2020.2987078
fatcat:x2kcjlgx5nggtpjme6xyjydpe4
An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
2021
Archives of Computational Methods in Engineering
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The various applications tackled using relevant versions of JAYA algorithm are also discussed and summarized based on several problem domains. ...
Initially, the optimization model and convergence characteristics of JAYA algorithm are carefully analyzed. ...
x) x 1 x 2 x 3 f(x) x 1 x 2 x 3 f(x) In [84] , commitment to economic unit is a large-scale mix-integer optimization problem that calls for strong and effective instrumentation. ...
doi:10.1007/s11831-021-09585-8
pmid:34075292
pmcid:PMC8155802
fatcat:j6u2fa74abgnhleodwkc4pou7m
Optimal power flow: a bibliographic survey II
2012
Energy Systems, Springer Verlag
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Part II of the survey (this article) examines the recent trend towards stochastic, or non-deterministic, search techniques and hybrid methods for OPF. ...
In this two-part survey, we survey both the classical and recent OPF literature in order to provide a (see part I) for the state of the art in OPF formulation and solution methods. ...
Differential Evolution Differential Evolution (DE) is a population-based, direct stochastic search algorithm originally proposed by Storn and Price (1995) for optimization problems over a continuous ...
doi:10.1007/s12667-012-0057-x
fatcat:sysa5sl3j5ez3au4yqipyrvfuy
Fuzzy identification of nonlinear dynamic system based on input variable selection and particle swarm optimization parameter optimization
2020
IEEE Access
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For large-scale nonlinear systems, event-based decentralized adaptive fuzzy outputfeedback finite-time control problems were investigated. ...
FIGURE 2 . 2 T-S fuzzy model identification approach based on selecting important input variables.
FIGURE 3 . 3 Comparison of our model and the original system for Mackey-Glass chaotic system. ...
For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/ ...
doi:10.1109/access.2020.3043275
fatcat:tbsq35tjhvbktkwjbzjtlkp2wu
Bio-Inspired Optimization of Sustainable Energy Systems: A Review
2013
Mathematical Problems in Engineering
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Particularly, algorithms that are inspired by the principles of natural biological evolution and/or collective behavior of social colonies have shown a promising performance and are becoming more and more ...
Sustainable energy development always involves complex optimization problems of design, planning, and control, which are often computationally difficult for conventional optimization methods. ...
[82] studied a large-scale mixed-integer nonlinear problem for generating optimal operational planning for energy plants and developed an constrained DE algorithm to effectively solve the problem without ...
doi:10.1155/2013/354523
fatcat:zaqxfr2vljdwhltcqkvbbtqrfu
Solar Hydrogen Variable Speed Control of Induction Motor Based on Chaotic Billiards Optimization Technique
2023
Energies
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to a PI-based PSO speed controller in the case of a large-scale motor. ...
This paper introduces a brand-new, inspired optimization algorithm (the chaotic billiards optimization (C-BO) approach) to effectively develop the optimal parameters for fuzzy PID techniques to enhance ...
Acknowledgments: The Authors are grateful to Suez Canal University for supporting this work. ...
doi:10.3390/en16031110
fatcat:dcwl7mabezecxieddo3yu6jsmu
2019 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 49
2019
IEEE Transactions on Systems, Man & Cybernetics. Systems
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Adaptive Differential Evolution. ...
., +, TSMC Dec. 2019
2536-2547
Historical and Heuristic-Based Adaptive Differential Evolution. ...
doi:10.1109/tsmc.2019.2956665
fatcat:xhplbanlyne7nl7gp2pbrd62oi
Computational Intelligence in the Context of Industry 4.0
[chapter]
2021
Implementing Industry 4.0 in SMEs
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The ending part of the chapter is focused on connecting theory and practice in a case study, which lists industrial parts recognition by convolutional neural networks for assisted assembly. ...
AbstractIndustry 4.0 is affecting almost every area of the industry, and as a result of its effects, systems, technologies, and the way information is processed are being transformed. ...
The researchers in Nguyen et al. (2019) used a hybrid optimization method based on differential evolution, iterated greedy search, mixed integer programming as well as parallel computing to solve the ...
doi:10.1007/978-3-030-70516-9_2
fatcat:3bgkvenwcvcqvnlfmhmjeoyury
Review of Latest Advances in Nature-Inspired Algorithms for Optimization of Activated Sludge Processes
2022
Processes
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Algorithms were assessed based on whether they looked at real/ideal treatment plant (WWTP) data (and efficiency) and whether they outperformed the traditional algorithms in optimizing the ASP. ...
This has aided in reducing the complexity and computational time of ASP modelling. ...
Acknowledgments: The authors would like to thank their institutions for giving them the time to work on this paper.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/pr11010077
fatcat:krrkymlyi5guzosnzgin2mtphu
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
2015
Mathematical Problems in Engineering
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, ring, star, random, etc.), hybridization (with genetic algorithm, simulated annealing, Tabu search, artificial immune system, ant colony algorithm, artificial bee colony, differential evolution, harmonic ...
On one hand, we provided advances with PSO, including its modifications (including quantum-behaved PSO, bare-bones PSO, chaotic PSO, and fuzzy PSO), population topology (as fully connected, von Neumann ...
[43] proposed a novel chaotic particle swarm fuzzy clustering (CPSFC) algorithm based on a new CPSO and gradient method. ...
doi:10.1155/2015/931256
fatcat:ubc5eywnhzdjllxjaywe4czhnm
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