Search Results - dynamic multi-objective evolutionary algorithms

Antenna design using dynamic multi-objective evolutionary algorithm by Jiao, Ruwang, Sun, Yongzhi, Sun, Jianqing, Jiang, Yuhong, Zeng, Sanyou

“…). A dynamic constrained multi-objective evolutionary algorithm is applied to address the transformed DCMOP, which means the COP as well as the antenna design problem can be solved…”
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Multi-strategy dynamic multi-objective evolutionary algorithm with hybrid environmental change responses by Peng, Hu, Mei, Changrong, Zhang, Sixiang, Luo, Zhongtian, Zhang, Qingfu, Wu, Zhijian

“…A key issue in evolutionary algorithms for dynamic multi-objective optimization problems (DMOPs…”
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A dynamic multi-objective evolutionary algorithm based on geometric prediction and vector–scalar transformation strategy by Zhao, Yan, Ma, Yongjie, Yang, Yue

“…Dynamic multi-objective evolutionary algorithms (DMOEAs) have attracted significant attention from scholars due to their strong robustness and wide range of applications across various fields…”
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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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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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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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A multi-objective hybrid evolutionary algorithm for dynamic economic emission load dispatch by Roy, Provas Kumar, Bhui, Sudipta

“…Summary This paper presents a novel multi‐objective evolutionary algorithm, namely chemical reaction optimization (CRO…”
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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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Dynamic multi-objective evolutionary algorithms for single-objective optimization by Jiao, Ruwang, Zeng, Sanyou, Alkasassbeh, Jawdat S., Li, Changhe

“…). The method converts a SOP to an equivalent dynamic multi-objective optimization problem (DMOP). A new dynamic multi-objective evolutionary algorithm…”
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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 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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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 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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Exploiting characterization of dynamism for enhancing dynamic multi-objective evolutionary algorithms by Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi

“…Characterization of dynamism is an essential phase for some of the dynamic multi-objective evolutionary algorithms (DMOEAs…”
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Dynamic multi-objective evolutionary algorithm with objective space prediction strategy by Guerrero-Peña, Elaine, Araújo, Aluizio F.R.

“…To solve dynamic multi-objective optimization problems, a dynamic multi-objective evolutionary algorithm (DMOEA…”
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A dynamic multi-objective evolutionary algorithm based on gene sequencing and gene editing by Yang, Yue, Ma, Yongjie, Wang, Minghao, Wang, Peidi

“… Inspired by the fact that gene sequencing can discover biological gene defects, this paper proposes a dynamic multi-objective evolutionary algorithm based on gene sequencing and gene editing (GSGE…”
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A Self-Learning Based Dynamic Multi-Objective Evolutionary Algorithm for Resilient Scheduling Problems in Steelmaking Plants by Jiang, Sheng-Long, Liu, Qie, Bogle, I. David L., Zheng, Zhong

“… We formulate the dynamic steelmaking scheduling problem with resilient responding strategies, which is a variant of dynamic multi-objective optimization problems (DMOP…”
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Dynamic Multi-Objective Evolutionary Algorithms: An Overview by Guerrero-Peña, Elaine, Araújo, Aluízio, Garrozi, Cícero

“… The introduction of multi-objective evolutionary algorithms (MOEAs) has facilitated the adaptation and creation of new methods to handle more complex and realistic…”
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A self-evolving fuzzy system online prediction-based dynamic multi-objective evolutionary algorithm by Sun, Jing, Gan, Xingjia, Gong, Dunwei, Tang, Xiaoke, Dai, Hongwei, Zhong, Zhaoman

“… However, the previous dynamic multi-objective evolutionary algorithms usually use linear prediction models to generate the initial population in the new environment, and some nonlinear prediction…”
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Dynamic multi-objective evolutionary algorithm for IoT services by Fang, Shun-shun, Chai, Zheng-yi, Li, Ya-lun

“… Then a dynamic multi-objective evolutionary algorithm for dynamic IoT services(dMOEA/DI) is proposed. In dMOEA/DI, we have designed operators such as the appropriate encoding…”
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