Non-linear domain adaptation in transfer evolutionary optimization

Non-linear domain adaptation in transfer evolutionary optimization

The cognitive ability to learn with experience is a hallmark of intelligent systems. The emerging transfer optimization paradigm pursues such human-like problem-solving prowess by leveraging useful information from various source tasks to enhance optimization efficiency on a related target task. The...

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Bibliographic Details
Main Authors: Lim, Ray, Gupta, Abhishek, Ong, Yew-Soon, Feng, Liang, Zhang, Allan N.
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Domain Adaptation
Solution Representation Learning
Online Access:https://hdl.handle.net/10356/160178
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Institution: Nanyang Technological University
Language: English

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https://hdl.handle.net/10356/160178

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