Suchergebnisse - "evolutionary algorithm"

A Survey on Cooperative Co-Evolutionary Algorithms von Ma, Xiaoliang, Li, Xiaodong, Zhang, Qingfu, Tang, Ke, Liang, Zhengping, Xie, Weixin, Zhu, Zexuan

“… The first cooperative co-evolutionary algorithm (CCEA) was proposed by Potter and De Jong in 1994 and since then many CCEAs have been proposed and successfully …”
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An improved quantum-inspired cooperative co-evolution algorithm with muli-strategy and its application von Cai, Xing, Zhao, Huimin, Shang, Shifan, Zhou, Yongquan, Deng, Wu, Chen, Huayue, Deng, Wuquan

“… •An improved QCCEA (called MSQCCEA) algorithm with multi-strategy is proposed.•Rrandom rotation direction strategy can avoid local optimum and realize solution …”
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An Indicator-Based Many-Objective Evolutionary Algorithm With Boundary Protection von Liang, Zhengping, Luo, Tingting, Hu, Kaifeng, Ma, Xiaoliang, Zhu, Zexuan

“… Many-objective optimization problems (MaOPs) pose a big challenge to the traditional Pareto-based multiobjective evolutionary algorithms (MOEAs). As the number …”
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An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection von Li, Lingjie, Xuan, Manlin, Lin, Qiuzhen, Jiang, Min, Ming, Zhong, Tan, Kay Chen

“… Recently, evolutionary multitasking (EMT) has been successfully used in the field of high-dimensional classification. However, the generation of multiple tasks …”
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A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making von Li, Yang, Wang, Jinlong, Zhao, Dongbo, Li, Guoqing, Chen, Chen

“… To address the problem of combined heat and power economic emission dispatch (CHPEED), a two-stage approach is proposed by combining multi-objective …”
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Multiobjective Multiple Mobile Sink Scheduling via Evolutionary Fuzzy Rough Neural Network for Wireless Sensor Networks von Zhao, Jianwei, Cao, Bin, Liu, Xin, Yang, Peng, Singh, Amit Kumar, Lv, Zhihan

“… The sensor nodes in wireless sensor networks have the deficiency of limited energy, and the multihop transmission of information will lead to a premature …”
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Large-scale Multiobjective Optimization via Reformulated Decision Variable Analysis von He, Cheng, Cheng, Ran, Li, Lianghao, Tan, Kay Chen, Jin, Yaochu

“… With the rising number of large-scale multiobjective optimization problems (LSMOPs) from academia and industries, some multiobjective evolutionary algorithms …”
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A Review on Evolutionary Multitask Optimization: Trends and Challenges von Wei, Tingyang, Wang, Shibin, Zhong, Jinghui, Liu, Dong, Zhang, Jun

“… Evolutionary algorithms (EAs) possess strong problem-solving abilities and have been applied in a wide range of applications. However, they still suffer from a …”
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Prediction of Fluorooxoborates with Colossal Second Harmonic Generation (SHG) Coefficients and Extremely Wide Band Gaps: Towards Modulating Properties by Tuning the BO3/BO3F Ratio in Layers von Zhang, Bingbing, Tikhonov, Evgenii, Xie, Congwei, Yang, Zhihua, Pan, Shilie

“… Fluorooxoborates have inspired investigations of deep‐ultraviolet (DUV) nonlinear optical (NLO) materials that can meet the multiple criteria. Herein, five …”
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An online-learning-based evolutionary many-objective algorithm von Zhao, Haitong, Zhang, Changsheng

“… When optimizing many-objective problems (MaOP), the same strategy might behave differently when facing problems with different features. Therefore, obtaining …”
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Investigations of Machining Characteristics in the Upgraded MQL-Assisted Turning of Pure Titanium Alloys Using Evolutionary Algorithms von Singh, Gurraj, Pruncu, Catalin Iulian, Gupta, Munish Kumar, Mia, Mozammel, Khan, Aqib Mashood, Jamil, Muhammad, Pimenov, Danil Yurievich, Sen, Binayak, Sharma, Vishal S.

“… Environmental protection is the major concern of any form of manufacturing industry today. As focus has shifted towards sustainable cooling strategies, minimum …”
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Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization von Li, Ke, Chen, Renzhi, Fu, Guangtao, Yao, Xin

“… When solving constrained multiobjective optimization problems, an important issue is how to balance convergence, diversity, and feasibility simultaneously. To …”
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An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems von Tian, Ye, Zhang, Xingyi, Wang, Chao, Jin, Yaochu

“… In the last two decades, a variety of different types of multiobjective optimization problems (MOPs) have been extensively investigated in the evolutionary …”
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Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics von Chong Zhang, Pin Lim, Qin, A. K., Kay Chen Tan

“… In numerous industrial applications where safety, efficiency, and reliability are among primary concerns, condition-based maintenance (CBM) is often the most …”
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Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions von Yuan, Jiawei, Liu, Hai-Lin, Gu, Fangqing, Zhang, Qingfu, He, Zhaoshui

“… This article investigates the properties of ratio and difference-based indicators under the Minkovsky distance and demonstrates that a ratio-based indicator …”
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Improved strength Pareto evolutionary algorithm based on reference direction and coordinated selection strategy von Gu, Qinghua, Chen, Siqi, Jiang, Song, Xiong, Naixue

“… In the field of evolutionary algorithms, Pareto‐based algorithms are less effective when more than three objectives are encountered, due to the lack of …”
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Self-Regulated Evolutionary Multitask Optimization von Zheng, Xiaolong, Qin, A. K., Gong, Maoguo, Zhou, Deyun

“… Evolutionary multitask optimization (EMTO) is a newly emerging research area in the field of evolutionary computation. It investigates how to solve multiple …”
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Push and pull search for solving constrained multi-objective optimization problems von Fan, Zhun, Li, Wenji, Cai, Xinye, Li, Hui, Wei, Caimin, Zhang, Qingfu, Deb, Kalyanmoy, Goodman, Erik

“… This paper proposes a push and pull search (PPS) framework for solving constrained multi-objective optimization problems (CMOPs). To be more specific, the …”
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Genetic algorithms: theory, genetic operators, solutions, and applications von Alhijawi, Bushra, Awajan, Arafat

“… A genetic algorithm (GA) is an evolutionary algorithm inspired by the natural selection and biological processes of reproduction of the fittest individual. GA …”
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An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts von Jiang, Shouyong, Yang, Shengxiang

“… The multiobjective evolutionary algorithm based on decomposition (MOEA/D) has been shown to be very efficient in solving multiobjective optimization problems …”
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