Search Results - "constrained multi-objective evolutionary algorithms"

Push and pull search for solving constrained multi-objective optimization problems by Fan, Zhun, Li, Wenji, Cai, Xinye, Li, Hui, Wei, Caimin, Zhang, Qingfu, Deb, Kalyanmoy, Goodman, Erik

“…This paper proposes a push and pull search (PPS) framework for solving constrained multi-objective optimization problems (CMOPs). To be more specific, the…”
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An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions by Fan, Zhun, Li, Wenji, Cai, Xinye, Huang, Han, Fang, Yi, You, Yugen, Mo, Jiajie, Wei, Caimin, Goodman, Erik

“…This paper proposes an improved epsilon constraint-handling mechanism and combines it with a decomposition-based multi-objective evolutionary algorithm…”
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MOEA/D with angle-based constrained dominance principle for constrained multi-objective optimization problems by Fan, Zhun, Fang, Yi, Li, Wenji, Cai, Xinye, Wei, Caimin, Goodman, Erik

“…This paper proposes a novel constraint-handling mechanism, namely the angle-based constrained dominance principle (ACDP), to solve constrained multi-objective…”
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A coevolutionary constrained multi-objective algorithm with a learning constraint boundary by Cao, Jie, Yan, Zesen, Chen, Zuohan, Zhang, Jianlin

“…When solving constrained multi-objective optimization problems, the balance of convergence, diversity, and feasibility plays a pivotal role. To address this…”
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Push and pull search embedded in an M2M framework for solving constrained multi-objective optimization problems by Fan, Zhun, Wang, Zhaojun, Li, Wenji, Yuan, Yutong, You, Yugen, Yang, Zhi, Sun, Fuzan, Ruan, Jie

“…In dealing with constrained multi-objective optimization problems (CMOPs), a key issue of multi-objective evolutionary algorithms (MOEAs) is to balance the…”
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A Dual-Population Constrained Multi-Objective Evolutionary Algorithm with Success Incentive Mechanism and its application to uncertain multimodal transportation problems by 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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Competition-based two-stage evolutionary algorithm for constrained multi-objective optimization by Hao, Lupeng, Peng, Weihang, Liu, Junhua, Zhang, Wei, Li, Yuan, Qin, Kaixuan

“…In recent years, the emergence of constrained multi-objective evolutionary algorithms (CMOEAs) has made it increasingly difficult to balance between the…”
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A Pareto front estimation-based constrained multi-objective evolutionary algorithm by Cao, Jie, Yan, Zesen, Chen, Zuohan, Zhang, Jianlin

“…The balance of convergence, diversity, and feasibility plays a pivotal role in constrained multi-objective optimization problems. To address this issue, in…”
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A coevolution algorithm based on two-staged strategy for constrained multi-objective problems by Fan, Chaodong, Wang, Jiawei, Xiao, Leyi, Cheng, Fanyong, Ai, Zhaoyang, Zeng, Zhenhuan

“…Constrained Multiobjective Problem (CMOP) is widely used in engineering applications, but the current constrained Multiobjective Optimization algorithms…”
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A Review of Constrained Multi-Objective Evolutionary Algorithm-Based Unmanned Aerial Vehicle Mission Planning: Key Techniques and Challenges by Huang, Gang, Hu, Min, Yang, Xueying, Wang, Xun, Wang, Yijun, Huang, Feiyao

“…UAV mission planning is one of the core problems in the field of UAV applications. Currently, mission planning needs to simultaneously optimize multiple…”
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A Manipulator Design Optimization Based on Constrained Multi-objective Evolutionary Algorithms by Yang Xiao, Zhun Fan, Wenji Li, Shen Chen, Lei Zhao, Honghui Xie

“…In order to achieve high performance of robotic manipulators, light-weight and high manipulability are two essential indicators. In this paper, a model of UR5…”
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A meta-heuristic algorithm combined with deep reinforcement learning for multi-sensor positioning layout problem in complex environment by Ning, Yida, Bai, Zhenzu, Wei, Juhui, Nagaratnam Suganthan, Ponnuthurai, Xing, Lining, Wang, Jiongqi, Song, Yanjie

“…In a multi-sensor positioning system (MSPS), the layout of sensors plays a crucial role in determining the system’s performance. Therefore, addressing the…”
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Terrain-Aware UAV-Enabled Mobile Edge Computing in Urban Environments: A Constrained Multi-Objective Approach With Task-Adaptive Mechanism by Wu, Zexiong, Xie, Qiqi, Wang, Zhuoran, Huang, Xumin, Peng, Chaoda, Wu, Yuan

“…With the increasing and multifaceted demands for wireless communication in smart cities, Unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC)…”
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From penalty function to learning-driven: evolution and perspectives of constrained multi-objective evolutionary algorithm by 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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Decomposition-based dual-population evolutionary algorithm for constrained multi-objective problem by Wang, Yufeng, Zhang, Yong, Xu, Chunyu, Bai, Wen, Zheng, Ke, Dong, Wenyong

“…Constrained multi-objective optimization problems require optimizing and solving multiple objectives while satisfying the constraints. However, in the process…”
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A Generalized Framework for Multi-objective-based Constraint Handling Technique by 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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A multi-task multi-objective evolutionary algorithm for constrained multi-objective optimization problems by Liu, Tianyu, Wu, Yu, Xu, He

“…Constrained multi-objective evolutionary algorithms often struggle to simultaneously achieve both objective optimization and constraint satisfaction,…”
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A Multi-Period Constrained Multi-Objective Evolutionary Algorithm with Orthogonal Learning for Solving the Complex Carbon Neutral Stock Portfolio Optimization Model by Chen, Yinnan, Ye, Lingjuan, Li, Rui, Zhao, Xinchao

“…Financial market has systemic complexity and uncertainty. For investors, return and risk often coexist. How to rationally allocate funds into different assets…”
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An exploration-enhanced hybrid algorithm based on regularity evolution for multi-objective multi-UAV 3-D path planning by Bai, Zhenzu, Zhou, Haiyin, Wei, Juhui, Zhou, Xuanying, Ning, Yida, Wang, Jiongqi

“…Path planning poses a complex optimization challenge essential for the safe operation and successful mission execution of unmanned aerial vehicles (UAVs)…”
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An Adaptive Two-Stage MOEA/D For Solving Constrained Multi-Objective Problem by Fan, Hangyu, Zhang, Kai, Zhang, Ling, Wu, Ni

“…The crux of solving constrained multi-objective optimization problems (CMOPs) lies in balancing the interplay between constraints, convergence, and diversity…”
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