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  • Your search results: "0000-0001-8851-5348"
Showing 1 - 20 results of 108 for search '"0000-0001-8851-5348"', query time: 1.35s Narrow search
  • 1
    Cover Image Journal Article
    Reference line-based Estimation of Distribution Algorithm for many-objective optimization
    by Sun, Yanan   Yen, Gary G   Yi, Zhang Published in Knowledge-based systems (15.09.2017)
    “...Multi-Objective Evolutionary Algorithms (MOEAs) are preferred in solving multi-objective optimization problems due to their considerable performance giving...”
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  • 2
    Cover Image Journal Article
    Wavelet packet feature extraction for vibration monitoring
    by Yen, G.G   Lin, K.-C Published in IEEE transactions on industrial electronics (1982) (01.06.2000)
    “...Condition monitoring of dynamic systems based on vibration signatures has generally relied upon Fourier-based analysis as a means of translating vibration...”
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  • 3
    Cover Image Journal Article
    Soft constraint handling for a real-world multiobjective energy distribution problem
    by Zhang, Yanyan   Yen, Gary G   Tang, Lixin Published in International journal of production research (01.10.2020)
    “...Real-world optimisation problems usually involve some conflicting objectives and a number of constraints. In such cases, finding a feasible, Pareto-optimal...”
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  • 4
    Cover Image Journal Article
    Adaptive Multiobjective Particle Swarm Optimization Based on Parallel Cell Coordinate System
    by Wang Hu   Yen, Gary G Published in IEEE transactions on evolutionary computation (01.02.2015)
    “...Managing convergence and diversity is essential in the design of multiobjective particle swarm optimization (MOPSO) in search of an accurate and well...”
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  • 5
    Cover Image Journal Article
    A knee-guided prediction approach for dynamic multi-objective optimization
    by Zou, Fei   Yen, Gary G   Tang, Lixin Published in Information sciences (01.01.2020)
    “...•The MCDM process is incorporated into the knee-guided evolutionary algorithm framework.•The knee and boundary regions are introduced to accelerate the...”
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  • 6
    Cover Image Journal Article
    Differential evolution mutation operators for constrained multi-objective optimization
    by Yu, Xiaobing   Yu, Xianrui   Lu, Yiqun   Yen, Gary G   Cai, Mei Published in Applied soft computing (01.06.2018)
    “...•Infeasible solutions are randomized, instead of undergoing DE mutation. The operator can balance major mutation and minor mutation.•The DE mutation operator...”
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  • 7
    Cover Image Journal Article
    Many-Objective Evolutionary Algorithms Based on Coordinated Selection Strategy
    by Zhenan He   Yen, Gary G Published in IEEE transactions on evolutionary computation (01.04.2017)
    “...Selection strategy, including mating selection and environmental selection, is a key ingredient in the design of evolutionary multiobjective optimization...”
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  • 8
    Cover Image Journal Article
    Performance Metric Ensemble for Multiobjective Evolutionary Algorithms
    by Yen, Gary G   Zhenan He Published in IEEE transactions on evolutionary computation (01.02.2014)
    “...Evolutionary algorithms have been successfully exploited to solve multiobjective optimization problems. In the literature, a heuristic approach is often taken...”
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  • 9
    Cover Image Journal Article
    A Many-Objective Evolutionary Algorithm With Enhanced Mating and Environmental Selections
    by Jixiang Cheng   Yen, Gary G   Gexiang Zhang Published in IEEE transactions on evolutionary computation (01.08.2015)
    “...Multiobjective evolutionary algorithms have become prevalent and efficient approaches for solving multiobjective optimization problems. However, their...”
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  • 10
    Cover Image Journal Article
    Many-Objective Evolutionary Algorithm: Objective Space Reduction and Diversity Improvement
    by Zhenan He   Yen, Gary G Published in IEEE transactions on evolutionary computation (01.02.2016)
    “...Evolutionary algorithms have been successfully applied for exploring both converged and diversified approximate Pareto-optimal fronts in multiobjective...”
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  • 11
    Cover Image Journal Article
    Hybrid bi-objective portfolio optimization with pre-selection strategy
    by Qi, Rongbin   Yen, Gary G Published in Information sciences (01.11.2017)
    “...•A pre-selection strategy based on quadratic programming is proposed.•The assets that have great contribution to the Pareto frontier can be filtered by...”
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  • 12
    Cover Image Journal Article
    Utilizing cumulative population distribution information in differential evolution
    by Wang, Yong   Liu, Zhi-Zhong   Li, Jianbin   Li, Han-Xiong   Yen, Gary G Published in Applied soft computing (01.11.2016)
    “...[Display omitted] The mutation, crossover, and selection of CPI-DE. •Due to the fact that single population fails to contain enough information to estimate the...”
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  • 13
    Cover Image Journal Article
    Particle swarm optimization of deep neural networks architectures for image classification
    by Fernandes Junior, Francisco Erivaldo   Yen, Gary G Published in Swarm and evolutionary computation (01.09.2019)
    “...Deep neural networks have been shown to outperform classical machine learning algorithms in solving real-world problems. However, the most successful deep...”
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  • 14
    Cover Image Journal Article
    Fuzzy-Based Pareto Optimality for Many-Objective Evolutionary Algorithms
    by Zhenan He   Yen, Gary G   Jun Zhang Published in IEEE transactions on evolutionary computation (01.04.2014)
    “...Evolutionary algorithms have been effectively used to solve multiobjective optimization problems with a small number of objectives, two or three in general...”
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  • 15
    Cover Image Journal Article
    A grid-based adaptive multi-objective differential evolution algorithm
    by Cheng, Jixiang   Yen, Gary G   Zhang, Gexiang Published in Information sciences (01.11.2016)
    “...Differential evolution is an excellent optimizer for single objective optimization problems. To extend its use for multi-objective optimization problems with...”
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  • 16
    Cover Image Journal Article
    Incorporating Objective Function Information Into the Feasibility Rule for Constrained Evolutionary Optimization
    by Yong Wang   Bing-Chuan Wang   Han-Xiong Li   Yen, Gary G Published in IEEE transactions on cybernetics (01.12.2016)
    “...When solving constrained optimization problems by evolutionary algorithms, an important issue is how to balance constraints and objective function. This paper...”
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  • 17
    Cover Image Journal Article
    A cluster based PSO with leader updating mechanism and ring-topology for multimodal multi-objective optimization
    by Zhang, Weizheng   Li, Guoqing   Zhang, Weiwei   Liang, Jing   Yen, Gary G Published in Swarm and evolutionary computation (01.11.2019)
    “...In the multimodal multi-objective optimization problems (MMOPs), there exists more than one Pareto optimal solutions in the decision space corresponding to the...”
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  • 18
    Cover Image Journal Article
    Cultural-based particle swarm for dynamic optimisation problems
    by Daneshyari, Moayed   Yen, Gary G Published in International journal of systems science (01.07.2012)
    “...Many practical optimisation problems are with the existence of uncertainties, among which a significant number belong to the dynamic optimisation problem (DOP)...”
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  • 19
    Cover Image Journal Article
    Knee based multimodal multi-objective evolutionary algorithm for decision making
    by Zhang, Kai   Shen, Chaonan   He, Juanjuan   Yen, Gary G Published in Information sciences (12.01.2021)
    “...•We propose a knee based evolutionary algorithm, named MMO-EvoKnee, which incorporates MCDM strategy into solving MMOPs. The proposed algorithm can find a...”
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  • 20
    Cover Image Journal Article
    Masked GAN for Unsupervised Depth and Pose Prediction With Scale Consistency
    by Zhao, Chaoqiang   Yen, Gary G   Sun, Qiyu   Zhang, Chongzhen   Tang, Yang Published in IEEE transaction on neural networks and learning systems (24.12.2020)
    “...Previous work has shown that adversarial learning can be used for unsupervised monocular depth and visual odometry (VO) estimation, in which the adversarial...”
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