Suchergebnisse - "Constrained multi-objective optimization"
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A surrogate-assisted evolution strategy for constrained multi-objective optimization
ISSN: 0957-4174, 1873-6793Veröffentlicht: Elsevier Ltd 15.09.2016Veröffentlicht in Expert systems with applications (15.09.2016)“… •New surrogate-assisted ES for constrained multi-objective optimization is developed …”
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Adaptive constraint handling technique selection for constrained multi-objective optimization
ISSN: 2210-6502Veröffentlicht: Elsevier B.V 01.04.2024Veröffentlicht in Swarm and evolutionary computation (01.04.2024)“… Constrained multi-objective optimization problems involve the optimization of multiple conflicting objectives simultaneously subject to a number of constraints, which pose a great challenge for the existing algorithms …”
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Global and local feasible solution search for solving constrained multi-objective optimization
ISSN: 0020-0255, 1872-6291Veröffentlicht: Elsevier Inc 01.11.2023Veröffentlicht in Information sciences (01.11.2023)“… Constrained multi-objective optimization problems (CMOPs) are challenging due to the complexity of feasible regions caused by constraints, especially …”
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A constraint handling technique using compound distance for solving constrained multi-objective optimization problems
ISSN: 2473-6988, 2473-6988Veröffentlicht: AIMS Press 01.01.2021Veröffentlicht in AIMS mathematics (01.01.2021)“… Guiding the working population to evenly explore the valuable areas which are not dominated by feasible solutions is important in the process of dealing with constrained multi-objective optimization problems (CMOPs …”
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A model-based methodology for the analysis and design of atomic layer deposition processes—Part III: Constrained multi-objective optimization
ISSN: 0009-2509, 1873-4405, 1873-4405Veröffentlicht: Elsevier Ltd 07.06.2013Veröffentlicht in Chemical engineering science (07.06.2013)“… This paper presents a structured methodology for the constrained multi-objective optimization (MO …”
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Constrained multi-objective state transition algorithm via adaptive bidirectional coevolution
ISSN: 0957-4174Veröffentlicht: Elsevier Ltd 25.03.2025Veröffentlicht in Expert systems with applications (25.03.2025)“… Constrained multi-objective optimization problems (CMOPs) involve optimizing multiple conflicting objectives subject to at least one constraint …”
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Energy, cost and job-tardiness-minimized scheduling of energy-intensive and high-cost industrial production systems
ISSN: 0952-1976, 1873-6769Veröffentlicht: Elsevier Ltd 01.07.2024Veröffentlicht in Engineering applications of artificial intelligence (01.07.2024)“… The challenge of the problem involves scheduling customized production jobs subject to intricate process constraints with the goal to minimize three objective functions, i.e …”
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Multi-objective constrained Bayesian optimization for structural design
ISSN: 1615-147X, 1615-1488, 1615-1488Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2021Veröffentlicht in Structural and multidisciplinary optimization (01.02.2021)“… The planning and design of buildings and civil engineering concrete structures constitutes a complex problem subject to constraints, for instance, limit state constraints from design codes, evaluated …”
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A joint-space numerical model of metabolic energy expenditure for human multibody dynamic system
ISSN: 2040-7939, 2040-7947Veröffentlicht: England Blackwell Publishing Ltd 01.09.2015Veröffentlicht in International journal for numerical methods in biomedical engineering (01.09.2015)“… A constrained multi‐objective optimization algorithm is established to estimate the model parameters from experimental …”
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Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms
ISSN: 1530-9304, 1530-9304Veröffentlicht: United States 15.03.2025Veröffentlicht in Evolutionary computation (15.03.2025)“… To answer this question, we combine drift analysis with fitness levels and define the tightest bound problem as a constrained multiobjective optimization problem subject to fitness levels …”
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Combined power management/design optimization for a fuel cell/battery plug-in hybrid electric vehicle using multi-objective particle swarm optimization
ISSN: 1229-9138, 1976-3832Veröffentlicht: Heidelberg The Korean Society of Automotive Engineers 01.06.2014Veröffentlicht in International journal of automotive technology (01.06.2014)“… Formulated as a constrained multi-objective optimization problem (MOP), the combined optimization problem simultaneously minimizes the vehicle cost and fuel consumption subject to the vehicle performance requirements …”
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Simulation and Multi-Objective Management of Coastal Aquifers in Semi-Arid Regions
ISSN: 0920-4741, 1573-1650Veröffentlicht: Dordrecht Springer Netherlands 01.03.2011Veröffentlicht in Water resources management (01.03.2011)“… The management plan is formulated in a multi-objective, optimization framework, where simultaneous minimization of economic and environmental costs is desired, subject to a constraint so that cleaned …”
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A Region Enhanced Discrete Multi-Objective Fireworks Algorithm for Low-Carbon Vehicle Routing Problem
ISSN: 2096-9929, 2096-9929Veröffentlicht: Tsinghua University Press 01.06.2022Veröffentlicht in Complex System Modeling and Simulation (01.06.2022)“… A constrained multi-objective optimization model for the low-carbon vehicle routing problem (VRP) is established …”
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Solving constrained multi-criteria optimization tasks using Elitist Evolutionary Multi-Agent System
ISBN: 1424418224, 9781424418220ISSN: 1089-778XVeröffentlicht: IEEE 01.06.2008Veröffentlicht in 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) (01.06.2008)“… Introducing elitism into evolutionary multi-agent system for multi-objective optimization proofed to be smooth both conceptually and in realization …”
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Energy efficient routing algorithm for patient monitoring in body sensor networks
ISSN: 2376-8894Veröffentlicht: IEEE 01.06.2016Veröffentlicht in Proceedings (International Conference on Wearable and Implantable Body Sensor Networks : Print) (01.06.2016)“… Wireless body sensor networks are widely used for monitoring individuals in assisted living facilities and has emerged as a promising technology in …”
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Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 13.02.2024Veröffentlicht in arXiv.org (13.02.2024)“… To answer this question, {\color{red} we combine drift analysis with fitness levels and define the tightest bound problem as a constrained multi-objective optimization problem subject to fitness levels …”
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COMBINED POWER MANAGEMENT/DESIGN OPTIMIZATION FOR A FUEL CELL/BATTERY PLUG-IN HYBRID ELECTRIC VEHICLE USING MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZATION
ISSN: 1229-9138, 1976-3832Veröffentlicht: 한국자동차공학회 01.06.2014Veröffentlicht in International journal of automotive technology (01.06.2014)“… Formulated as a constrained multi-objective optimization problem (MOP), the combined optimizationproblem simultaneously minimizes the vehicle cost and fuel consumption subject to the vehicle performance requirements …”
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Towards Robust and Accurate Myoelectric Controller Design based on Multi-objective Optimization using Evolutionary Computation
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 22.05.2023Veröffentlicht in arXiv.org (22.05.2023)“… Myoelectric pattern recognition is one of the important aspects in the design of the control strategy for various applications including upper-limb prostheses …”
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Decentralized wastewater management solutions for improved public health protection and reclamation: Optimization and application
ISBN: 9781303790829, 1303790823Veröffentlicht: ProQuest Dissertations & Theses 01.01.2014“… Centralized wastewater treatment, widely practiced in developed areas, involves transporting wastewater from large urban or industrial areas to a large …”
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A multi-objective optimization approach for sensor network design
ISBN: 054974262X, 9780549742623Veröffentlicht: ProQuest Dissertations & Theses 01.01.2008“… Many sensor network design problems are characterized by the need to optimize multiple conflicting objectives. However, existing approaches generally focus on …”
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Dissertation

