Výsledky vyhledávání - "Constrained multi-objective optimization problem"

A multi-input and dual-output wind speed interval forecasting system based on constrained multi-objective optimization problem and model averaging Autor Lv, Mengzheng, Wang, Jianzhou, Wang, Shuai, Zhao, Yang, Gao, Jialu, Wang, Kang

“…[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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Trading off costs and service rates in a first-mile ride-sharing service Autor Zheng, Minyi, Pantuso, Giovanni

“…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 Autor Modampuri, Sri Srinivasa Raju, Fan, Jiahao, Sun, Yanan

“…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 Autor Hu, Min, Huang, Gang, Yang, Xueying, Xiao, Jinwei, Wang, Xun, Zhang, Tiantian

“…With the increasing prevalence of constrained multi-objective optimization problems (CMOPs) in complex systems such as engineering design and intelligent…”
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A Generalized Framework for Multi-objective-based Constraint Handling Technique Autor Dam, Tien Minh, Truong, Long Viet

“…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 Autor Wang, Danjing, Xin, Bin, Wang, Yipeng, Zhang, Jia, Deng, Fang, Wang, Xianpeng

“…The allocation of heterogeneous battlefield resources is crucial in Command and Control (C2). Balancing multiple competing objectives under complex constraints…”
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A constrained multi-objective optimization algorithm with two cooperative populations Autor Zhang, Jianlin, Cao, Jie, Zhao, Fuqing, Chen, Zuohan

“…Constrained multi-objective problems (CMOPs) require balancing convergence, diversity, and feasibility of solutions. Unfortunately, the existing constrained…”
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Switched system identification based on the constrained multi-objective optimization problem with application to the servo turntable Autor Zhang, Qian, Wang, Qunjing, Li, Guoli

“…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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Influence of Mutation Mechanism on the Performance of Constrained Multi-objective Particle Swarm Optimization Autor Hao, Lupeng, Liu, Junhua, Wang, Rongchen

“…For a large number of algorithms that use the dual archive mechanism to solve the constrained multi-objective optimization problem, there is no mutation…”
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A dual-grid dual-phase strategy for constrained multi-objective optimization Autor Ming, Mengjun, Wang, Rui, Zhang, Tao, Ishibuchi, Hisao

“…Constrained multi-objective optimization problems (CMOPs) appear frequently in engineering applications. In some cases, feasible regions are narrow and/or…”
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Constrained multi-objective optimization problems: Methodologies, algorithms and applications Autor Hao, Yuanyuan, Zhao, Chunliang, Zhang, Yiqin, Cao, Yuanze, Li, Zhong

“…Constrained multi-objective optimization problems (CMOPs) are widespread in practical applications such as engineering design, resource allocation, and…”
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A dynamic dual-population co-evolution multi-objective evolutionary algorithm for constrained multi-objective optimization problems Autor Kong, Xiangsong, Yang, Yongkuan, Lv, Zhisheng, Zhao, Jing, Fu, Rong

“…Many multi-objective evolutionary algorithms are proposed to handle constrained multi-objective optimization problems. Nevertheless, they often fail to…”
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A multi-objective differential evolution algorithm based on domination and constraint-handling switching Autor Yang, Yongkuan, Liu, Jianchang, Tan, Shubin, Liu, Yuanchao

“…Many domination-based multi-objective evolutionary algorithms (MOEAs) are designed for constrained multi-objective optimization problems (CMOPs). However, they…”
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Penalty and prediction methods for dynamic constrained multi-objective optimization Autor Wang, Fengxia, Huang, Min, Yang, Shengxiang, Wang, Xingwei

“…•Novel penalty and prediction methods based on MOEA named NDCMOEA are proposed.•A new penalty function for constraint handling is introduced.•An IGPM predictor…”
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A Dual-Population Constrained Multi-Objective Evolutionary Algorithm with Success Incentive Mechanism and its application to uncertain multimodal transportation problems Autor Yang, Zhe, Deng, Libao, Di, Yuanzhu, Li, Chunlei, Qin, Yifan, Zhang, Lili

“…The evolution of the transportation industry has heightened the focus on environmentally sustainable multimodal transport, particularly in addressing carbon…”
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A Domain Knowledge-Injected Constrained Multi-Objective Evolutionary Algorithm for Analog Integrated Circuit Design Autor Gao, Fengxuan, Zhao, Chunliang, Gong, Dunwei, Yan, Zhiqiang, Zhao, Huaiyu, Zheng, Qiming

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Optimization of Built-In Self-Test test chain configuration in 2.5D Integrated Circuits Using Constrained Multi-Objective Evolutionary Algorithm Autor Yang, Zhe, Deng, Libao, Li, Chunlei, Zhang, Lili

“…2.5D Integrated Circuit (2.5D IC) is an advanced packaging technology. This technology facilitates the dense integration of multiple dies by adding passive…”
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A Multitasking-Based Constrained Multi-Objective Evolutionary Algorithm With Forward and Backward Stages Autor Zhong, Xiaoyu, Yao, Xiangjuan, Qiao, Kangjia, Gong, Dunwei

“…Solving constrained multi-objective optimization problems (CMOPs) via evolutionary multitasking optimization (EMTO) algorithm is a meaningful attempt due to…”
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Constrained multi-objective optimization with dual-swarm assisted competitive swarm optimizer Autor Wang, Yubo, Hu, Chengyu, Gong, Wenyin, Ming, Fei

“…Many metaheuristic methods have been proposed and have shown promising performance in solving multi-objective optimization problems (MOPs). As a representative…”
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A Coevolutionary Algorithm Based on Constraints Decomposition for Constrained Multi-objective Optimization Problems Autor Li, Guangpeng, Li, Li, Cai, Guoyong

“…Constrained multi-objective optimization problems (CMOPs) are challenging for evolutionary algorithms (EAs). Due to the interaction of multiple constraints,…”
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