Search Results - "Multi Objective Evolutionary Algorithm"

Neural Architecture Search Based on a Multi-Objective Evolutionary Algorithm With Probability Stack by Xue, Yu, Chen, Chen, Slowik, Adam

“… In this article, a multi-objective evolutionary algorithm with a probability stack (MOEA-PS) is proposed for NAS, which considers the two…”
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Multimodal multi-objective evolutionary algorithm for multiple path planning by Yao, Xingyi, Li, Wenhua, Pan, Xiaogang, Wang, Rui

“…•A diversity-based fitness indicator is proposed.•A novel multimodal multi-objective evolutionary algorithm is proposed…”
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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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Self-adaptive multi-objective evolutionary algorithm for flexible job shop scheduling with fuzzy processing time by Li, Rui, Gong, Wenyin, Lu, Chao

“…) to minimize the makespan and the total workload simultaneously. A mixed integer liner programming model is presented and a hybrid self-adaptive multi-objective evolutionary algorithm based on decomposition (HPEA…”
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Neural architecture search via reference point based multi‐objective evolutionary algorithm by Tong, Lyuyang, Du, Bo

“…•We propose RNSGA-Net for neural architecture search, which balances the conflict objectives and considers the preference of decision-makers.•We augment an…”
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A stable-state multi-objective evolutionary algorithm based on decomposition by Wang, Jing, Zheng, Yuxin, Huang, Pengcheng, Peng, Hu, Wu, Zhijian

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A 3 dB SISL coupler design by multi‐objective evolutionary algorithm based on decomposition by Zhang, Yongliang, Yi, Yu, Feng, Linping, Qi, Guangfei, Zhang, Xianfang, Zhang, Xiaoping, Yang, Chen

“…‐objective evolutionary algorithm based on decomposition (MOEA/D) is proposed. SISL technology can provide electromagnetic shielding performance and realize the low loss, lightweight, and self‐packaging. The highly time…”
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Scheduling stochastic distributed flexible job shops using an multi-objective evolutionary algorithm with simulation evaluation by Fu, Yaping, Gao, Kaizhou, Wang, Ling, Huang, Min, Liang, Yun-Chia, Dong, Hongyu

“…The trend of reverse globalisation prompts manufacturing enterprises to adopt distributed structures with multiple factories for improving production…”
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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 algorithm, called NN…”
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Solution of constrained mixed‐integer multi‐objective optimal power flow problem considering the hybrid multi‐objective evolutionary algorithm by Ali, Aamir, Abbas, Ghulam, Keerio, Muhammad Usman, Koondhar, Mohsin Ali, Chandni, Kiran, Mirsaeidi, Sohrab

“…An Optimal power flow (OPF) is non‐linear and constrained multi‐objective problem. OPF problems are expensive and evolutionary algorithms (EAs) are…”
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A Pareto Front grid guided multi-objective evolutionary algorithm by Xu, Ying, Zhang, Huan, Huang, Lei, Qu, Rong, Nojima, Yusuke

“… (multi-objective evolutionary algorithms based on decomposition) have shown to be lack of the ability to balance the diversity and the convergence to track the true Pareto Fronts during the search…”
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Multi-Objective Evolutionary Algorithm for PET Image Reconstruction: Concept by Abouhawwash, Mohamed, Alessio, Adam M.

“…In many diagnostic imaging settings, including positron emission tomography (PET), images are typically used for multiple tasks such as detecting disease and…”
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An automatic multi-objective evolutionary algorithm for the hybrid flowshop scheduling problem with consistent sublots by Zhang, Biao, Pan, Quan-ke, Meng, Lei-lei, Lu, Chao, Mou, Jian-hui, Li, Jun-qing

“…Lot streaming is the most widely used technique to facilitate overlapping of successive operations. Inspired by real-world scenarios, this paper studies a…”
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A hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification by Onan, Aytuğ, Korukoğlu, Serdar, Bulut, Hasan

“…Sentiment analysis is a critical task of extracting subjective information from online text documents. Ensemble learning can be employed to obtain more robust…”
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A flexible reference point-based multi-objective evolutionary algorithm: An application to the UAV route planning problem by Dasdemir, Erdi, Köksalan, Murat, Tezcaner Öztürk, Diclehan

“…•We develop a preference-based MOEA to converge to reference points.•The decision maker may change reference points throughout the algorithm.•The algorithm…”
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Information gain-based multi-objective evolutionary algorithm for feature selection by Zhang, Baohang, Wang, Ziqian, Li, Haotian, Lei, Zhenyu, Cheng, Jiujun, Gao, Shangce

“…Feature selection (FS) has garnered significant attention because of its pivotal role in enhancing the efficiency and effectiveness of various machine learning…”
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Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm by Fang, Wei, Zhang, Qiang, Sun, Jun, Wu, Xiao-Jun

“… In order to solve the proposed three-objective problem efficiently, an improved multi-objective evolutionary algorithm for HQPM (MOEA-PM) is proposed…”
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A multi-modal multi-objective evolutionary algorithm based on scaled niche distance by Cao, Jie, Qi, Zhi, Chen, Zuohan, Zhang, Jianlin

“… To address this issue, a novel multi-modal multi-objective evolutionary algorithm (MMEA) named MMEA-SND is proposed in this study…”
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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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A multi-objective evolutionary algorithm based on dimension exploration and discrepancy evolution for UAV path planning problem by Xu, Xiuju, Xie, Chengyu, Luo, Zongfu, Zhang, Chuanfu, Zhang, Tao

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