Search Results - constrained multi-objective evolution algorithms

Self-Adaptive Constrained Multi-Objective Differential Evolution Algorithm Based on the State–Action–Reward–State–Action Method by Liu, Qingqing, Cui, Caixia, Fan, Qinqin

“…The performance of constrained multi-objective differential evolution algorithms (CMOEAs…”
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Constrained multi-objective differential evolution algorithm with ranking mutation operator by Yu, Xiaobing, Luo, Wenguan, Xu, WangYing, Li, ChenLiang

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A novel multi-level population hybrid search evolution algorithm for constrained multi-objective optimization problems by Chaoqun Li, Yang Liu, Yao Zhang, Mengying Xu, Jing Xiao, Jie Zhou

“…Constrained multi-objective optimization problem (CMOP) considers the convergence, diversity and feasibility of the population in the optimization process, so it is challenging to find desirable solutions of CMOP…”
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Reinforcement learning-based differential evolution algorithm for constrained multi-objective optimization problems by Yu, Xiaobing, Xu, Pingping, Wang, Feng, Wang, Xuming

“…). It is still challenging to automatically set efficient parameters for Constrained Multi-Objective Evolutionary Algorithms (CMOEAs…”
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A dynamic dual-population co-evolution multi-objective evolutionary algorithm for constrained multi-objective optimization problems by Kong, Xiangsong, Yang, Yongkuan, Lv, Zhisheng, Zhao, Jing, Fu, Rong

“…Many multi-objective evolutionary algorithms are proposed to handle constrained multi-objective optimization problems…”
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Adaptive constrained multi-objective differential evolution algorithm for vehicle routing problem considering crowdsourcing delivery by Hou, Ying, Shen, Yanjie, Han, Honggui, Wu, Yilin, Huang, Yanting

“…). To address this constrained optimization problem, an adaptive constrained multi-objective differential evolution (ACMODE…”
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Self-adaptive differential evolution algorithm with α-constrained-domination principle for constrained multi-objective optimization by Qian, Feng, Xu, Bin, Qi, Rongbin, Tianfield, Huaglory

“… To solve such constrained multi-objective problems effectively, in this paper, we put forward a new approach which integrates self-adaptive differential evolution algorithm with α…”
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A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems by Zou, Juan, Sun, Ruiqing, Yang, Shengxiang, Zheng, Jinhua

“…•The proposed algorithm is competitive when compared to the Dual-popualtion CMOEAs. It is challenging to solve constrained multi-objective optimization problems (CMOPs…”
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Dynamic constrained multi-objective optimization algorithm based on co-evolution and diversity enhancement by Che, Wang, Zheng, Jinhua, Hu, Yaru, Zou, Juan, Yang, Shengxiang

“… To address these challenges, this paper proposes a dynamic constrained multi-objective optimization algorithm based on co-evolution and diversity enhancement (CEDE…”
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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…”
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An adaptive tradeoff evolutionary algorithm with composite differential evolution for constrained multi-objective optimization by Feng, Jian, Liu, Shaoning, Yang, Shengxiang, Zheng, Jun, Liu, Jinze

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DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems by Santana-Quintero, Luis V., Hernández-Díaz, Alfredo G., Molina, Julián, Coello Coello, Carlos A., Caballero, Rafael

“…) and a local search method based on the use of rough set theory is a viable alternative to obtain a robust algorithm able to solve difficult constrained multi-objective optimization problems…”
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Optimization of a Spark Ignition Engine Knock and Performance Using the Epsilon-Constrained Differential Evolution Algorithm and Multi-Objective Differential Evolution Algorithm by Kou, Yalin, Gao, Ying, You, Yuelin, Wang, Yurang

“… In order to investigate the effects of multiple variables on economic performance and power performance under knock limits, this study adopts single-objective optimization and multi-objective…”
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A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio by Yang, Yongkuan, Liu, Jianchang, Tan, Shubin, Wang, Honghai

“…Most current evolutionary multi-objective optimization (EMO) algorithms perform well on multi-objective optimization problems without constraints…”
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The optimal grouting area and cable distribution design for guaranteeing roadway stability while considering fluid mechanical effects via the CMOEAD algorithm by Li, Peng, Guo, Yinghai, Cheng, Yinghao, Zhang, Jiaming

“…‒mechanical coupling effects were considered. In combination with the CMOEAD (constrained multi-objective evolution algorithm based on decomposition…”
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Multi-objective optimization based reverse strategy with differential evolution algorithm for constrained optimization problems by Gao, Liang, Zhou, Yinzhi, Li, Xinyu, Pan, Quanke, Yi, Wenchao

“…•Experimental results show the effectiveness of the proposed algorithm. Solving constrained optimization problems (COPs…”
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Two-Stage Dynamic Cooperative Evolution Algorithm for Constrained Multi-objective Optimization by Chen, Jie, Zhang, Kai, Wu, Ni, Zhang, Ling

“…Compared with multi-objective optimization problems(MOPs), constrained multi-objective optimization problems(CMOPs…”
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Multi-objective thermal analysis of a thermoelectric device: Influence of geometric features on device characteristics by Ibrahim, Amin, Rahnamayan, Shahryar, Vargas Martin, Miguel, Yilbas, Bekir

“… In the present study, three the-state-of-the-art multi-objective evolutionary algorithms, namely, NSGA-II…”
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A Dynamic Exemplars Selection-based Differential Evolution Algorithm for Constrained Multi-objective Optimization by Ban, Xuanxuan, Liang, Jing, Yu, Kunjie, Qiao, Kangjia, Wang, Yaonan, Peng, Jinzhu

“…Constrained multi-objective optimization problems (CMOPs) pose a significant challenge due to the presence of multiple conflicting objective functions requiring optimization, alongside numerous complex constraints that must be satisfied…”
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A Multi-Objective evolutionary algorithm-based optimization framework for hybrid absorption-compression heat pump systems by Wei, Junzhuo, Wu, Di, Wang, Ruzhu

“…) to tackle constrained multi-objective optimization problems (CMOP). The framework integrates three innovative algorithms…”
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