Search Results - (dynamic OR dynamika) multi-objective evolutionary algorithm

Dynamic multi-objective evolutionary algorithm based on knowledge transfer by Wu, Linjie, Wu, Di, Zhao, Tianhao, Cai, Xingjuan, Xie, Liping

“… However, if all individuals are transferred, they may experience negative transfers. Therefore, this paper proposes a novel knowledge transfer method for the dynamic multi-objective evolutionary algorithm (T-DMOEA…”
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Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing by Ismayilov, Goshgar, Topcuoglu, Haluk Rahmi

“… In this study, we propose a prediction-based dynamic multi-objective evolutionary…”
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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

“… This paper proposed a dynamic dual-population co-evolution multi-objective evolutionary algorithm (DDCMEA…”
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Multi-objective evolutionary clustering for large-scale dynamic community detection by Yin, Ying, Zhao, Yuhai, Li, He, Dong, Xiangjun

“… In this paper, an efficient and effective multi-objective method, namely DYN-MODPSO, is proposed, and where the traditional evolutionary clustering framework and the particle swarm algorithm…”
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Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems by Shen, Xiao-Ning, Yao, Xin

“… In order to capture the dynamic and multi-objective nature of flexible job shop scheduling, and provide different trade-offs among objectives, this paper develops a multi-objective evolutionary algorithm (MOEA)-based proactive–reactive method…”
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Dynamic multi-objective evolutionary algorithms in noisy environments by Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi

“… Although related work in the literature targets only a single type, in this paper, we study Dynamic Multi-objective Optimization problems (DMOPs…”
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A multi-objective evolutionary algorithm for multi-period dynamic emergency resource scheduling problems by Zhou, Yawen, Liu, Jing, Zhang, Yutong, Gan, Xiaohui

“… Then, using the framework of multi-objective evolutionary algorithm based on decomposition (MOEA/D), an MOEA is proposed to solve this model…”
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Multi-Objective Dynamic VAR Planning Against Short-Term Voltage Instability Using a Decomposition-Based Evolutionary Algorithm by Xu, Yan, Dong, Zhao Yang, Meng, Ke, Yao, Wei Feng, Zhang, Rui, Wong, Kit Po

“… The problem is formulated as a multi-objective optimization model minimizing two conflicting objectives: 1…”
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A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy by Azzouz, Radhia, Bechikh, Slim, Said, Lamjed Ben

“… These problems are called dynamic multi-objective optimization problems. Applying evolutionary algorithms to solve dynamic optimization problems has obtained great attention among many researchers…”
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A dynamic multi-objective optimization evolutionary algorithm with adaptive boosting by Peng, Hu, Xiong, Jianpeng, Pi, Chen, Zhou, Xinyu, Wu, Zhijian

“… To solve this issue, a dynamic multi-objective optimization evolutionary algorithm with adaptive boosting (AB-DMOEA…”
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A dual dynamic constraint boundary based constrained multi-objective evolutionary algorithm for small feasible regions by Zhu, Cong, Yang, Yongkuan, Kong, Xiangsong, Yang, Yanxiang

“… struggle to balance feasibility, diversity, and convergence within the population. To overcome this challenge, we propose a dual dynamic constraint boundary-based constrained multi-objective evolutionary algorithm, referred to as TPDCB…”
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SEAMS: A surrogate-assisted evolutionary algorithm with metric-based dynamic strategy for expensive multi-objective optimization by Liu, Haitao, Wang, Chia-Hung

“… formed by algorithms tends to be low. This paper proposes a metric-based surrogate-assisted evolutionary algorithm for multi-objective expensive optimization…”
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A constrained multi-objective evolutionary algorithm based on decomposition and dynamic constraint-handling mechanism by Yang, Yongkuan, Liu, Jianchang, Tan, Shubin

“… This paper introduces a multi-objective evolutionary algorithm based on decomposition and dynamic constraint-handling mechanism (MOEA/D-DCH…”
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A dynamic multi-objective evolutionary algorithm based on intensity of environmental change by Hu, Yaru, Zheng, Jinhua, Zou, Juan, Yang, Shengxiang, Ou, Junwei, Wang, Rui

“… This paper proposes a novel evolutionary algorithm based on the intensity of environmental change (IEC…”
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A bidirectional dynamic grouping multi-objective evolutionary algorithm for feature selection on high-dimensional classification by Yu, Kunjie, Sun, Shaoru, Liang, Jing, Chen, Ke, Qu, Boyang, Yue, Caitong, Wang, Ling

“…” and high computational costs, especially when the search space is large. To solve the above issues, this paper proposes a bidirectional dynamic grouping multi-objective…”
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A dynamic multi-objective evolutionary algorithm based on genetic engineering and improved particle swarm prediction strategy by Yang, Yue, Ma, Yongjie, Zhao, Yan, Zhang, Wenping, Wang, Yu

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A dynamic multi-objective evolutionary algorithm based on Mahalanobis distance and intra-cluster individual correlation rectification by Ge, Fangzhen, Hou, Xing, Chen, Debao, Shen, Longfeng, Liu, Huaiyu

“…). Although many dynamic multi-objective evolutionary algorithms (DMOEAs) have demonstrated impressive performance, there is still room for improvement in accurately predicting population behavior…”
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An ensemble learning based multi-objective evolutionary algorithm for the dynamic vehicle routing problem with time windows by Wang, Feng, Liao, Fanshu, Li, Yixuan, Yan, Xuesong, Chen, Xu

“…•A multi-objective optimization model for DVRPTW is proposed.•A new DMOEA using ensemble learning is proposed…”
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A dynamic granularity-based multi-objective evolutionary algorithm for coal mine integrated energy system dispatch optimization by Zhong, Xiaoyu, Yao, Xiangjuan, Qiao, Kangjia, Gong, Dunwei

“…•Integrating DGS and DES, a new large-scale constrained multi-objective evolutionary algorithm named DGMA is developed…”
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Result diversification by multi-objective evolutionary algorithms with theoretical guarantees by Qian, Chao, Liu, Dan-Xuan, Zhou, Zhi-Hua

“… In this paper, we propose to reformulate the result diversification problem as a bi-objective maximization problem, and solve it by a multi-objective evolutionary algorithm (EA), i.e., the GSEMO…”
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