Multiproblem surrogates : transfer evolutionary multiobjective optimization of computationally expensive problems

Multiproblem surrogates : transfer evolutionary multiobjective optimization of computationally expensive problems

In most real-world settings, designs are often gradually adapted and improved over time. Consequently, there exists knowledge from distinct (but possibly related) design exercises, which have either been previously completed or are currently in-progress, that may be leveraged to enhance the optimiza...

Saved in:

書目詳細資料
Main Authors:	Tan, Alan Wei Ming, Ong, Yew-Soon, Gupta, Abhishek, Goh, Chi-Keong
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2020
主題:	Engineering::Computer science and engineering Efficient Global Optimization (EGO) Knowledge Transfer
在線閱讀:	https://hdl.handle.net/10356/139587
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

相似書籍

Evolutionary optimization of expensive multiobjective problems with co-sub-Pareto front Gaussian process surrogates
由: Luo, Jianping, et al.
出版: (2021)

Autoencoding evolutionary search with learning across heterogeneous problems
由: Feng, Liang, et al.
出版: (2021)

SURROGATE-ASSISTED ALGORITHMS FOR COMPUTATIONALLY EXPENSIVE MULTI- AND MANY-OBJECTIVE GLOBAL OPTIMIZATION PROBLEMS
由: WANG WENYU
出版: (2022)

Objective reduction in many-objective optimization : evolutionary multiobjective approaches and comprehensive analysis
由: Yuan, Yuan, et al.
出版: (2020)

SURROGATE BASED GLOBAL OPTIMIZATION OF COMPUTATIONALLY EXPENSIVE PROBLEMS: ALGORITHM DESIGN, CONVERGENCE ANALYSIS AND APPLICATIONS
由: LIU LIMENG
出版: (2021)

Curbing negative influences online for seamless transfer evolutionary optimization
由: Da, Bingshui, et al.
出版: (2020)

Multi co-objective evolutionary optimization : cross surrogate augmentation for computationally expensive problems
由: Le, Minh Nghia, et al.
出版: (2013)

Multiobjective multifactorial optimization in evolutionary multitasking
由: Gupta, Abhishek, et al.
出版: (2021)

Combining global and local surrogate models to accelerate evolutionary optimization
由: Zhou, Zongzhao, et al.
出版: (2021)

SOP: parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems
由: Krityakierne, T, et al.
出版: (2020)

Multifactorial evolutionary algorithm with online transfer parameter estimation : MFEA-II
由: Bali, Kavitesh Kumar, et al.
出版: (2020)

Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
由: Akhtar, T, et al.
出版: (2020)

Evolutionary multitasking : a computer science view of cognitive multitasking
由: Ong, Yew-Soon, et al.
出版: (2021)

Cognizant multitasking in multiobjective multifactorial evolution : MO-MFEA-II
由: Bali, Kavitesh Kumar, et al.
出版: (2021)

Combining global and local surrogate models to accelerate evolutionary optimization
由: Zhou, Z., et al.
出版: (2014)

A multiobjective evolutionary algorithm toolbox for computer-aided multiobjective optimization
由: Tan, K.C., et al.
出版: (2014)

Reverse ego-depletion: Acts of self-control can improve subsequent performance in Indian cultural contexts
由: Savani, Krishna, et al.
出版: (2018)

Insights on transfer optimization : because experience is the best teacher
由: Gupta, Abhishek, et al.
出版: (2021)

Quasi-Newton methods for solving multiobjective optimization
由: Qu, S., et al.
出版: (2013)

Generalizing transfer Bayesian optimization to source-target heterogeneity
由: Min, Alan Tan Wei, et al.
出版: (2022)

Island-based evolutionary computation with diverse surrogates and adaptive knowledge transfer for high-dimensional data-driven optimization
由: ZHANG, Xian-Rong, et al.
出版: (2024)

Generalizing surrogate-assisted evolutionary computation
由: Lim, Dudy, et al.
出版: (2021)

A lost cause
由: Menon, A
出版: (2020)

Multilayer dielectric filter design using a multiobjective evolutionary algorithm
由: Venkatarayalu, N.V., et al.
出版: (2014)

An Efficiency Optimization Scheme for Bidirectional Inductive Power Transfer Systems
由: Nguyen, Bac Xuan, et al.
出版: (2016)

A tabu-based exploratory evolutionary algorithm for multiobjective optimization
由: Tan, K.C., et al.
出版: (2014)

An investigation on noisy environments in evolutionary multiobjective optimization
由: Goh, C.K., et al.
出版: (2014)

Large-scale portfolio optimization using multiobjective evolutionary algorithms and preselection methods
由: Qu, B. Y., et al.
出版: (2018)

Evolutionary multitasking via explicit autoencoding
由: Feng, Liang, et al.
出版: (2020)

A general maximum energy efficiency tracking scheme for domino wireless power transfer systems with quasi-load-independent outputs
由: Wang, Kaiyuan, et al.
出版: (2024)

Max-min surrogate-assisted evolutionary algorithm for robust design
由: Ong, Yew-Soon, et al.
出版: (2021)

Evolutionary algorithm for multiobjective optimization: Cooperative coevolution and new features
由: YANG YINGJIE
出版: (2010)

DYNAMIC MULTIOBJECTIVE OPTIMIZATION USING EVOLUTIONARY ALGORITHMS
由: ARRCHANA MURUGANANTHAM
出版: (2017)

Fast transfer Gaussian process regression with large-scale sources
由: Da, Bingshui, et al.
出版: (2020)

PARTIAL RESTART STRATEGIES FOR GLOBAL OPTIMIZATION ALGORITHMS ON COMPUTATIONALLY EXPENSIVE PROBLEMS
由: LIU NANXI
出版: (2023)

Incorporating the notion of relative importance of objectives in evolutionary multiobjective optimization
由: Rachmawati, L., et al.
出版: (2014)

Evolutionary optimization for computationally expensive problems
由: Lim, Dudy
出版: (2009)

Interaction Effect of Cultural Knowledge and Executive Resources on Social Judgments
由: ZHOU, Xi, et al.
出版: (2013)

Multiobjective evolutionary algorithm with controllable focus on the knees of the pareto front
由: Rachmawati, L., et al.
出版: (2014)

Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems
由: FENG, Liang, et al.
出版: (2015)