Suchergebnisse - dynamic multi-objective evolutionary algorithms

Antenna design using dynamic multi-objective evolutionary algorithm von 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 …”
Volltext

Multi-strategy dynamic multi-objective evolutionary algorithm with hybrid environmental change responses von 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 …”
Volltext

A dynamic multi-objective evolutionary algorithm based on geometric prediction and vector–scalar transformation strategy von 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 …”
Volltext

A multi-objective evolutionary algorithm for multi-period dynamic emergency resource scheduling problems von 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 …”
Volltext

Dynamic multi-objective evolutionary algorithms in noisy environments von 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 …”
Volltext

Dynamic multi-objective evolutionary algorithm based on knowledge transfer von 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 …”
Volltext

A multi-objective hybrid evolutionary algorithm for dynamic economic emission load dispatch von Roy, Provas Kumar, Bhui, Sudipta

“… Summary This paper presents a novel multi‐objective evolutionary algorithm, namely chemical reaction optimization (CRO …”
Volltext

A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy von 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 …”
Volltext

Dynamic multi-objective evolutionary algorithms for single-objective optimization von 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 …”
Volltext

A dynamic multi-objective evolutionary algorithm based on intensity of environmental change von 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 …”
Volltext

A dynamic multi-objective evolutionary algorithm based on genetic engineering and improved particle swarm prediction strategy von Yang, Yue, Ma, Yongjie, Zhao, Yan, Zhang, Wenping, Wang, Yu

Volltext

Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing von Ismayilov, Goshgar, Topcuoglu, Haluk Rahmi

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

A dynamic multi-objective evolutionary algorithm based on Mahalanobis distance and intra-cluster individual correlation rectification von 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 …”
Volltext

Exploiting characterization of dynamism for enhancing dynamic multi-objective evolutionary algorithms von Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi

“… Characterization of dynamism is an essential phase for some of the dynamic multi-objective evolutionary algorithms (DMOEAs …”
Volltext

Dynamic multi-objective evolutionary algorithm with objective space prediction strategy von Guerrero-Peña, Elaine, Araújo, Aluizio F.R.

“… To solve dynamic multi-objective optimization problems, a dynamic multi-objective evolutionary algorithm (DMOEA …”
Volltext

A dynamic multi-objective evolutionary algorithm based on gene sequencing and gene editing von 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 …”
Volltext

A Self-Learning Based Dynamic Multi-Objective Evolutionary Algorithm for Resilient Scheduling Problems in Steelmaking Plants von 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 …”
Volltext

Dynamic Multi-Objective Evolutionary Algorithms: An Overview von 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 …”
Volltext

A self-evolving fuzzy system online prediction-based dynamic multi-objective evolutionary algorithm von 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 …”
Volltext

Dynamic multi-objective evolutionary algorithm for IoT services von 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 …”
Volltext