Search Results - "Jinghui ZHONG"

Self-Learning Gene Expression Programming by Zhong, Jinghui, Ong, Yew-Soon, Cai, Wentong

“…In this paper, a novel self-learning gene expression programming (GEP) methodology named SL-GEP is proposed to improve the search accuracy and efficiency of…”
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An efficient memetic genetic programming framework for symbolic regression by Cheng, Tiantian, Zhong, Jinghui

“…Background Symbolic regression is one of the most common applications of genetic programming (GP), which is a popular evolutionary algorithm in automatic…”
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HAS-EA: a fast parallel surrogate-assisted evolutionary algorithm by Li, Yixian, Zhong, Jinghui

“…Many real-world phenomena are modeled as expensive optimization problems (EOPs) that are not readily solvable without extensive computational cost…”
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A Preliminary Study of Knowledge Transfer in Multi-Classification Using Gene Expression Programming by Wei, Tingyang, Zhong, Jinghui

“…Gene Expression Programming (GEP), a variant of Genetic Programming (GP), is a well established technique for automatic generation of computer programs. Due to…”
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The association between dynamic changes in vitamin D and frailty alterations: A prospective analysis of UK Biobank participants by Zhang, Pan, Zhong, Jinghui, Liu, Xinfeng, Sun, Wen

“…Background Frailty is a common geriatric syndrome associated with reduced reserves and increased vulnerability to stressors among older adults. Vitamin D…”
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Learning behavior patterns from video for agent-based crowd modeling and simulation by Zhong, Jinghui, Cai, Wentong, Luo, Linbo, Zhao, Mingbi

“…This paper proposes a novel data-driven modeling framework to construct agent-based crowd model based on real-world video data. The constructed crowd model can…”
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Well-Being and Cardiovascular Health: Insights From the UK Biobank Study by Zhong, Jinghui, Zhang, Pan, Dong, Yiran, Xu, Yingjie, Huang, Hongmei, Ye, Ruidong, Liu, Xinfeng, Sun, Wen

“…Cardiovascular diseases (CVDs) are a leading global health concern. Emerging evidence suggests a potential protective role of well-being in reducing CVD risk…”
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A hyper-heuristic framework for lifetime maximization in wireless sensor networks with a mobile sink by Zhong, Jinghui, Huang, Zhixing, Feng, Liang, Du, Wan, Li, Ying

“…Maximizing the lifetime of wireless sensor networks &#x0028 WSNs &#x0029 is an important and challenging research problem. Properly scheduling the movements of…”
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Guide them through: An automatic crowd control framework using multi-objective genetic programming by Hu, Nan, Zhong, Jinghui, Zhou, Joey Tianyi, Zhou, Suiping, Cai, Wentong, Monterola, Christopher

“…[Display omitted] •We propose an automatic framework based on genetic programming to generate crowd control strategies.•We propose a Multi-Objective Cartesian…”
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Genetic programming with separability detection for symbolic regression by Liu, Wei-Li, Yang, Jiaquan, Zhong, Jinghui, Wang, Shibin

“…Genetic Programming (GP) is a popular and powerful evolutionary optimization algorithm that has a wide range of applications such as symbolic regression,…”
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Design and Evaluation of a Data-Driven Scenario Generation Framework for Game-Based Training by Linbo Luo, Haiyan Yin, Wentong Cai, Jinghui Zhong, Lees, Michael

“…Generating suitable game scenarios that can cater for individual players has become an emerging challenge in procedural content generation. In this paper, we…”
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Surrogate assisted calibration framework for crowd model calibration by Wenchao Yi, Jinghui Zhong, Singkuang Tan, Wentong Cai, Nan Hu

“…Surrogate models are commonly used to approximate the multivariate input or output behavior of complex systems. In this paper, surrogate assisted calibration…”
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Crowd evacuation planning using Cartesian Genetic Programming and agent-based crowd modeling by Zhong, Jinghui, Cai, Wentong, Luo, Linbo

“…This paper proposes a new evolutionary algorithm-based methodology for optimal crowd evacuation planning. In the proposed methodology, a heuristic-based…”
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EA-based evacuation planning using agent-based crowd simulation by Jinghui Zhong, Linbo Luo, Wentong Cai, Lees, Michael

“…Safety planning for crowd evacuation is an important and active research topic nowadays. One important issue is to devise the evacuation plans of individuals…”
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Knowledge transfer in evolutionary multi-task optimization: A survey by Tan, Ziying, Luo, Linbo, Zhong, Jinghui

“…Evolutionary multi-task optimization (EMTO) is an optimization algorithm designed to optimize multiple tasks simultaneously. In real life, different tasks…”
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A Review on Evolutionary Multitask Optimization: Trends and Challenges by 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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An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization by Chen, Yongliang, Zhong, Jinghui, Feng, Liang, Zhang, Jun

“…Multi-task optimization is an emerging research topic in computational intelligence community. In this paper, we propose a novel evolutionary framework,…”
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Evolutionary multitasking in combinatorial search spaces: A case study in capacitated vehicle routing problem by Lei Zhou, Liang Feng, Jinghui Zhong, Yew-Soon Ong, Zexuan Zhu, Sha, Edwin

“…Multifactorial optimization (MFO) is a new paradigm proposed recently for evolutionary multi-tasking. In contrast to traditional evolutionary optimization…”
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Semantic Linear Genetic Programming for Symbolic Regression by Huang, Zhixing, Mei, Yi, Zhong, Jinghui

“…Symbolic regression (SR) is an important problem with many applications, such as automatic programming tasks and data mining. Genetic programming (GP) is a…”
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Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation by Zhou, Lei, Feng, Liang, Tan, Kay Chen, Zhong, Jinghui, Zhu, Zexuan, Liu, Kai, Chen, Chao

“…A multifactorial evolutionary algorithm (MFEA) is a recently proposed algorithm for evolutionary multitasking, which optimizes multiple optimization tasks…”
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