Suchergebnisse - "Constrained Multi-Objective Optimization Problems"

A constraint handling technique using compound distance for solving constrained multi-objective optimization problems von Yuan, Jiawei

“… 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 surrogate-assisted evolution strategy for constrained multi-objective optimization von Datta, Rituparna, Regis, Rommel G.

“… •New surrogate-assisted ES for constrained multi-objective optimization is developed.•Surrogates are used to identify the most promising among many trial …”
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Constrained multi-objective state transition algorithm via adaptive bidirectional coevolution von Sun, Yan, Zhou, Xiaojun, Yang, Chunhua, Huang, Tingwen

“… Constrained multi-objective optimization problems (CMOPs) involve optimizing multiple conflicting objectives subject to at least one constraint …”
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Adaptive constraint handling technique selection for constrained multi-objective optimization von Wang, Chao, Liu, Zhihao, Qiu, Jianfeng, Zhang, Lei

“… 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 von Huang, Weixiong, Zou, Juan, Liu, Yuan, Yang, Shengxiang, Zheng, Jinhua

“… Constrained multi-objective optimization problems (CMOPs) are challenging due to the complexity of feasible regions caused by constraints, especially …”
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Energy, cost and job-tardiness-minimized scheduling of energy-intensive and high-cost industrial production systems von Zhao, Ziyan, Jiang, Qi, Liu, Shixin, Zhou, MengChu, Yang, Xiaochun, Guo, Xiwang

“… 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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Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms von He, Jun, Zhou, Yuren

“… 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 von Geng, B., Mills, J. K., Sun, D.

“… 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 von Kourakos, George, Mantoglou, Aristotelis

“… 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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Energy efficient routing algorithm for patient monitoring in body sensor networks von Rajagopalan, Ramesh

“… 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 von He, Jun, Zhou, Yuren

“… 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 von B. GENG, J. K. MILLS, D. SUN

“… 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 von Ahmed Aqeel Shaikh, Mukhopadhyay, Anand Kumar, Poddar, Soumyajit, Samui, Suman

“… 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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A multi-objective optimization approach for sensor network design von Rajagopalan, Ramesh

“… 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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Hybrid multi-swarm particle swarm optimisation based multi-objective reactive power dispatch von Srivastava, Laxmi, Singh, Himmat

“… Most of the real-world optimisation problems are subject to different types of constraints and are known as constrained optimisation problems …”
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