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1“...Multi-Objective Evolutionary Algorithms (MOEAs) are preferred in solving multi-objective optimization problems due to their considerable performance giving...”
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2“...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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3by 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“...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“...•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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6by 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“...Selection strategy, including mating selection and environmental selection, is a key ingredient in the design of evolutionary multiobjective optimization...”
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8“...Evolutionary algorithms have been successfully exploited to solve multiobjective optimization problems. In the literature, a heuristic approach is often taken...”
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9by 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“...Evolutionary algorithms have been successfully applied for exploring both converged and diversified approximate Pareto-optimal fronts in multiobjective...”
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11“...•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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12by 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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13by 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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14by 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“...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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16by 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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17by 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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18by 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“...•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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20by 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...”