Suchergebnisse - "Dynamic constrained multi-objective optimization"

Feasibility-guided momentum prediction for dynamic constrained multi-objective optimization von Li, Lin, Feng, Yiqi, Guo, Yinan, Lei, Ru, Tong, Fei, Zhang, Zuowei, Cai, Linkai

“… •Extensive experiments show superior performance in convergence and adaptability. Dynamic constrained multi-objective optimization problems (DCMOPs …”
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Penalty and prediction methods for dynamic constrained multi-objective optimization von Wang, Fengxia, Huang, Min, Yang, Shengxiang, Wang, Xingwei

“… Dynamic constrained multi-objective optimization problems (DCMOPs) involve objective functions and constraints that vary over time, requiring optimization algorithms to track the changing Pareto optimal set (POS) quickly …”
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Dynamic constrained multi-objective optimization based on adaptive combinatorial response mechanism von Aliniya, Zahra, Khasteh, Seyed Hossein

“… In dynamic multi-objective optimization problems (DMOPs), objective functions, problem parameters, and constraints may change over time. Mainly, DMOPs use …”
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A Coevolutionary Response Framework for Dynamic Constrained Multi-Objective Optimization Problems von Bao, Qian, Wang, Maocai, Yang, Shengxiang, Dai, Guangming, Chen, Xiaoyu

“… Dynamic constrained multi-objective optimization problems (DCMOPs) present significant challenges due to the evolving nature of both objectives and constraints …”
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Enhancing Dynamic Constrained Multiobjective Optimization With Multicenters-Based Prediction von Gong, Quan, Xia, Yizhang, Zou, Juan, Hou, Zhanglu, Liu, Yuan

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Dynamic constrained multi-objective optimization algorithm based on co-evolution and diversity enhancement von Che, Wang, Zheng, Jinhua, Hu, Yaru, Zou, Juan, Yang, Shengxiang

“… Dynamic constrained multi-objective optimization problems (DCMOPs) involve objectives, constraints, and parameters that change over time …”
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A Lightweight Evolutionary Algorithm for Dynamic Constrained Multi-Objective Optimization von Liu, Jiaqi, Song, Wei

“… Dynamic constrained multiobjective optimization problems (DCMOPs) pose significant challenges due to shifting objectives and fragmented feasible regions. To …”
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A novel particle swarm optimization algorithm with local search for dynamic constrained multi-objective optimization problems von Jingxuan Wei, Liping Jia

“… In the real world, many optimization problems are dynamic constrained multi-objective optimization problems …”
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Hyper rectangle search based particle swarm algorithm for dynamic constrained multi-objective optimization problems von Jingxuan Wei, Yuping Wang

“… In the real world, many optimization problems are dynamic constrained multi-objective optimization problems …”
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A Culture-Based Particle Swarm Optimization Framework for Dynamic, Constrained Multi-Objective Optimization von Yen, Gary G, Kadkol, Ashwin A

“… Real-world optimization problems are often dynamic, multiple objective in nature with various constraints and uncertainties. This work proposes solving such …”
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Artificial immune system in dynamic environments solving time-varying non-linear constrained multi-objective problems von Zhang, Zhuhong, Qian, Shuqu

“… A bio-inspired artificial immune system is developed to track dynamically the Pareto fronts of time-varying constrained multi-objective problems with changing …”
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Enhancing UAV Safety in Smart City Environments: A Dynamic Constrained Multi-Objective Evolutionary Algorithm von Gao, Junxi, Chen, Yanglin, Cai, Zhiyuan, Huang, Caishi, Peng, Chaoda

“… The integration of Unmanned Aerial Vehicles (UAVs) as mobile edge computing nodes has become increasingly crucial in smart city environments, where they …”
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Dynamic multi-objective differential evolution for solving constrained optimization problem von Lina Jia, Sanyou Zeng, Dong Zhou, Aimin Zhou, Zhengjun Li, Hongyong Jing

“… Dynamic constrained multi-objective differential evolution (DCMODE) is designed for solving constrained optimization problem (COP). Main feature presented in …”
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A dynamic constrained multi-objective evolutionary algorithm with a dual prediction mechanism von Yang, Zhe, Deng, Libao, Li, Chunlei, Qin, Yifan, Zhang, Lili

“… The design of evolutionary algorithms for dynamic constrained multi-objective optimization problems is a significant research area, driven by the need for real-time adaptive solutions in complex real-world systems …”
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A federated GAN network-based evolutionary constrained optimization approach to integrated coal mine energy system von Hu, Na, Zhang, Chi, Rong, Miao, Geng, Na, Gong, Dunwei

“… The integrated coal mine energy system (ICMES) is a kind of system with multiple scenarios, variables and parameters, which belongs to dynamic constrained multi-objective optimization problem (DCMOP …”
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Dynamic constraints and optimization problem for cooperative search-track mission planning von Zhang, Xiaojie, Zheng, Jibin, Su, Tao

“… Multi-objective Optimization Problems (DCMOPs).The objective functions and constraints are time-dependent and changing number …”
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Handling time-varying constraints and objectives in dynamic evolutionary multi-objective optimization von Azzouz, Radhia, Bechikh, Slim, Said, Lamjed Ben, Trabelsi, Walid

“… Recently, several researchers within the evolutionary and swarm computing community have been interested in solving dynamic multi-objective problems where the …”
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Dynamic constrained multi-objective model for solving constrained optimization problem von Sanyou Zeng, Shizhong Chen, Jiang Zhao, Aimin Zhou, Zhengjun Li, Hongyong Jing

“… Constrained optimization problem (COP) is skillfully converted into dynamic constrained multi-objective optimization problem (DCMOP) in this paper …”
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Constrained optimization problem solved by dynamic constrained NSGA-III multiobjective optimizational techniques von Xi Li, Sanyou Zeng, Sha Qin, Kunqi Liu

“… ). The methodology first constructs a dynamic constrained multi-objective optimization problem (DCMOP) equivalent to the COP by converting the constraints into some violation …”
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Dynamic Constrained Multi-Objective Evolutionary Optimization via Adaptive Two-Stage Archiving and Autoencoder Prediction von Wang, Qianhui, Ye, Yulong, Zhu, Qingling, Liu, Songbai, Lin, Qiuzhen

“… Dynamic constrained multi-objective optimization problems (DCMOPs) are characterized by time-varying objectives and constraints, requiring optimization algorithms that can rapidly track the changing Pareto-Optimal Set (POS …”
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