Suchergebnisse - "Constrained Multi-objective Optimisation problem"
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Difficulty Controllable and Scalable Constrained Multi-objective Test Problems
Veröffentlicht: IEEE 01.12.2015Veröffentlicht in 2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (01.12.2015)“… In this paper, we propose a general toolkit to construct constrained multi-objective optimisation problems (CMOPs …”
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A multi-input and dual-output wind speed interval forecasting system based on constrained multi-objective optimization problem and model averaging
ISSN: 0196-8904Veröffentlicht: Elsevier Ltd 01.11.2024Veröffentlicht in Energy conversion and management (01.11.2024)“… [Display omitted] •A multi-input dual-output neural network is constructed to obtain the best interval.•Two constrained bi-objective optimization problems are …”
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A multi-stage evolutionary algorithm based on finite state machine theory for constrained multi-objective optimization problem
ISSN: 2210-6502Veröffentlicht: Elsevier B.V 01.01.2026Veröffentlicht in Swarm and evolutionary computation (01.01.2026)“… Multi-stage optimization algorithms are promising for solving constrained multi-objective optimization problems (CMOPs …”
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Constrained multi-objective optimization problem model to design multi-band terahertz metamaterial absorbers
ISSN: 2159-3930, 2159-3930Veröffentlicht: Washington Optical Society of America 01.03.2023Veröffentlicht in Optical materials express (01.03.2023)“… A constrained multi-objective optimization problem (CMOP) model is proposed to intelligently obtain the optimized geometrical parameters of the designed MA for optimal multi-band absorption …”
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A novel two-stage constraints handling framework for real-world multi-constrained multi-objective optimization problem based on evolutionary algorithm
ISSN: 0924-669X, 1573-7497Veröffentlicht: New York Springer US 01.11.2021Veröffentlicht in Applied intelligence (Dordrecht, Netherlands) (01.11.2021)“… ) to solve the multi-constrained multi-objective optimization problems (MCMOPs), which dynamically balances the diversity and convergence of solutions …”
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Switched system identification based on the constrained multi-objective optimization problem with application to the servo turntable
ISSN: 1598-6446, 2005-4092Veröffentlicht: Bucheon / Seoul Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers 01.10.2016Veröffentlicht in International journal of control, automation, and systems (01.10.2016)“… Multi-model switching controllers can handle the complexity of process plants and other engineered systems, based on the switched system model. In this paper, …”
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Trading off costs and service rates in a first-mile ride-sharing service
ISSN: 0968-090X, 1879-2359Veröffentlicht: Elsevier Ltd 01.05.2023Veröffentlicht in Transportation research. Part C, Emerging technologies (01.05.2023)“… Given a set of geographically dispersed vehicles, the first-mile ride-sharing problem seeks optimal routes to transport customers to a common destination …”
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A two-stage ensemble evolutionary algorithm for constrained multi-objective optimization
ISSN: 2210-6502Veröffentlicht: Elsevier B.V 01.12.2025Veröffentlicht in Swarm and evolutionary computation (01.12.2025)“… In constrained multi-objective evolutionary algorithms (CMOEAs), selecting appropriate constraint-handling techniques (CHTs) is challenging without prior …”
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From penalty function to learning-driven: evolution and perspectives of constrained multi-objective evolutionary algorithm
ISSN: 2210-6502Veröffentlicht: Elsevier B.V 01.07.2025Veröffentlicht in Swarm and evolutionary computation (01.07.2025)“… With the increasing prevalence of constrained multi-objective optimization problems (CMOPs …”
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Enhanced leader particle swarm optimisation (ELPSO): a new algorithm for optimal scheduling of home appliances in demand response programs
ISSN: 0269-2821, 1573-7462Veröffentlicht: Dordrecht Springer Netherlands 01.03.2020Veröffentlicht in The Artificial intelligence review (01.03.2020)“… This represents a constrained multi-objective optimisation problem with integer decision variables …”
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A Generalized Framework for Multi-objective-based Constraint Handling Technique
ISSN: 1598-6446, 2005-4092Veröffentlicht: Bucheon / Seoul Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers 01.10.2024Veröffentlicht in International journal of control, automation, and systems (01.10.2024)“… This paper introduces a novel approach to handling constraints in multi-objective optimization problems by treating constraints as objectives. Our study …”
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Constraint-Feature-Guided Evolutionary Algorithms for Multi-Objective Multi-Stage Weapon-Target Assignment Problems
ISSN: 1009-6124, 1559-7067Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2025Veröffentlicht in Journal of systems science and complexity (01.06.2025)“… The allocation of heterogeneous battlefield resources is crucial in Command and Control (C2). Balancing multiple competing objectives under complex constraints …”
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Optimising SAG mill throughput and circulating load using machine learning models: A multi-objective approach for identifying optimal process parameters
ISSN: 0892-6875Veröffentlicht: Elsevier Ltd 01.10.2025Veröffentlicht in Minerals engineering (01.10.2025)“… This research addresses the problem by formulating it as a constrained multi-objective optimisation problem …”
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Optimal economic–emission power scheduling of RERs in MGs with uncertainty
ISSN: 1751-8687, 1751-8695Veröffentlicht: The Institution of Engineering and Technology 01.01.2020Veröffentlicht in IET generation, transmission & distribution (01.01.2020)“… (RERs) in isolated and grid-connected MGs. The EEDP is formulated as a non-linear constrained multi-objective optimisation problem …”
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A constrained multi-objective optimization algorithm with two cooperative populations
ISSN: 1865-9284, 1865-9292Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2022Veröffentlicht in Memetic computing (01.03.2022)“… Constrained multi-objective problems (CMOPs) require balancing convergence, diversity, and feasibility of solutions. Unfortunately, the existing constrained …”
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Identification and control of the motor-drive servo turntable with the switched friction model
ISSN: 1751-8660, 1751-8679, 1751-8679Veröffentlicht: The Institution of Engineering and Technology 01.05.2020Veröffentlicht in IET electric power applications (01.05.2020)“… In this study, the identification and control scheme of the motor-drive servo turntable are researched to achieve accurate tracking. Firstly, the input–output …”
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Multi-objective grasp pose optimisation for robotic 3D pipe assembly manipulation
ISSN: 0736-5845, 1879-2537Veröffentlicht: Oxford Elsevier Ltd 01.08.2022Veröffentlicht in Robotics and computer-integrated manufacturing (01.08.2022)“… •A novel method for selecting optimal grasp pose for a robot to manipulate pipe assemblies is developed.•Three objectives (i.e., robot joint motion, …”
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Hybrid multi-swarm particle swarm optimisation based multi-objective reactive power dispatch
ISSN: 1751-8687, 1751-8695Veröffentlicht: The Institution of Engineering and Technology 21.05.2015Veröffentlicht in IET generation, transmission & distribution (21.05.2015)“… Most of the real-world optimisation problems are subject to different types of constraints and are known as constrained optimisation problems. Reactive power …”
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Cloud service reliability modelling and optimal task scheduling
ISSN: 1751-8628, 1751-8636Veröffentlicht: The Institution of Engineering and Technology 26.01.2017Veröffentlicht in IET communications (26.01.2017)“… Cloud computing enables service sharing in a massive scale via network access to a pool of configurable computing resources. It has to allocate resources …”
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Antenna design using dynamic multi-objective evolutionary algorithm
ISSN: 1751-8725, 1751-8733Veröffentlicht: The Institution of Engineering and Technology 31.10.2018Veröffentlicht in IET microwaves, antennas & propagation (31.10.2018)“… ). Then a framework is introduced for solving the COP. The framework converts a COP into an equivalent dynamic constrained multi-objective optimisation problem (DCMOP …”
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