Search Results - "Soon Ong, Yew"

A survey of adaptive sampling for global metamodeling in support of simulation-based complex engineering design by Liu, Haitao, Ong, Yew-Soon, Cai, Jianfei

“…Metamodeling is becoming a rather popular means to approximate the expensive simulations in today’s complex engineering design problems since accurate…”
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When Gaussian Process Meets Big Data: A Review of Scalable GPs by Liu, Haitao, Ong, Yew-Soon, Shen, Xiaobo, Cai, Jianfei

“…The vast quantity of information brought by big data as well as the evolving computer hardware encourages success stories in the machine learning community. In…”
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Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II by Bali, Kavitesh Kumar, Ong, Yew-Soon, Gupta, Abhishek, Tan, Puay Siew

“…Humans rarely tackle every problem from scratch. Given this observation, the motivation for this paper is to improve optimization performance through adaptive…”
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Multifactorial Evolution: Toward Evolutionary Multitasking by Gupta, Abhishek, Yew-Soon Ong, Liang Feng

“…The design of evolutionary algorithms has typically been focused on efficiently solving a single optimization problem at a time. Despite the implicit…”
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A Multi-Facet Survey on Memetic Computation by Chen, Xianshun, Ong, Yew-Soon, Lim, Meng-Hiot, Tan, Kay Chen

“…Memetic computation is a paradigm that uses the notion of meme(s) as units of information encoded in computational representations for the purpose of…”
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On Scalable Multiobjective Test Problems With Hardly Dominated Boundaries by Wang, Zhenkun, Ong, Yew-Soon, Ishibuchi, Hisao

“…The DTLZ1-DTLZ4 problems are by far one of the most commonly used test problems in the validation and comparison of multiobjective optimization evolutionary…”
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Survey on Multi-Output Learning by Xu, Donna, Shi, Yaxin, Tsang, Ivor W., Ong, Yew-Soon, Gong, Chen, Shen, Xiaobo

“…The aim of multi-output learning is to simultaneously predict multiple outputs given an input. It is an important learning problem for decision-making since…”
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Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study by Li, Hao, Ong, Yew-Soon, Gong, Maoguo, Wang, Zhenkun

“…Real-world applications typically have multiple sparse reconstruction tasks to be optimized. In order to exploit the similar sparsity pattern between different…”
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A Probabilistic Memetic Framework by QUANG HUY NGUYEN, ONG, Yew-Soon, MENG HIOT LIM

“…Memetic algorithms (MAs) represent one of the recent growing areas in evolutionary algorithm (EA) research. The term MAs is now widely used as a synergy of…”
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Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II by Bali, Kavitesh Kumar, Gupta, Abhishek, Ong, Yew-Soon, Tan, Puay Siew

“…Humans have the ability to identify recurring patterns in diverse situations encountered over a lifetime, constantly understanding relationships between tasks…”
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Word2Pix: Word to Pixel Cross-Attention Transformer in Visual Grounding by Zhao, Heng, Zhou, Joey Tianyi, Ong, Yew-Soon

“…Current one-stage methods for visual grounding encode the language query as one holistic sentence embedding before fusion with visual features for target…”
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Handling Constrained Many-Objective Optimization Problems via Problem Transformation by Jiao, Ruwang, Zeng, Sanyou, Li, Changhe, Yang, Shengxiang, Ong, Yew-Soon

“…Objectives optimization and constraints satisfaction are two equally important goals to solve constrained many-objective optimization problems (CMaOPs)…”
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Insights on Transfer Optimization: Because Experience is the Best Teacher by Gupta, Abhishek, Ong, Yew-Soon, Feng, Liang

“…Traditional optimization solvers tend to start the search from scratch by assuming zero prior knowledge about the task at hand. Generally speaking, the…”
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Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates by Luo, Jianping, Gupta, Abhishek, Ong, Yew-Soon, Wang, Zhenkun

“…This paper proposes a Gaussian process (GP) based co-sub-Pareto front surrogate augmentation strategy for evolutionary optimization of computationally…”
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Evolutionary Machine Learning With Minions: A Case Study in Feature Selection by Zhang, Nick, Gupta, Abhishek, Chen, Zefeng, Ong, Yew-Soon

“…Many decisions in a machine learning (ML) pipeline involve nondifferentiable and discontinuous objectives and search spaces. Examples include feature…”
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Curbing Negative Influences Online for Seamless Transfer Evolutionary Optimization by Da, Bingshui, Gupta, Abhishek, Ong, Yew-Soon

“…This paper draws motivation from the remarkable ability of humans to extract useful building-blocks of knowledge from past experiences and spontaneously reuse…”
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Multiobjective Multifactorial Optimization in Evolutionary Multitasking by Gupta, Abhishek, Yew-Soon Ong, Liang Feng, Kay Chen Tan

“…In recent decades, the field of multiobjective optimization has attracted considerable interest among evolutionary computation researchers. One of the main…”
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A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries by Wang, Zhenkun, Ong, Yew-Soon, Sun, Jianyong, Gupta, Abhishek, Zhang, Qingfu

“…In some real-world applications, it has been found that the performance of multiobjective optimization evolutionary algorithms (MOEAs) may deteriorate when…”
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Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding by Zhou, Lei, Feng, Liang, Gupta, Abhishek, Ong, Yew-Soon

“…The design of the evolutionary algorithm with learning capability from past search experiences has attracted growing research interests in recent years. It has…”
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Evolutionary Multitasking via Explicit Autoencoding by Feng, Liang, Zhou, Lei, Zhong, Jinghui, Gupta, Abhishek, Ong, Yew-Soon, Tan, Kay-Chen, Qin, A. K.

“…Evolutionary multitasking (EMT) is an emerging research topic in the field of evolutionary computation. In contrast to the traditional single-task evolutionary…”
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