All ebooks by Kay CHen Tan in PDF and EPUB
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All ebooks by Kay CHen Tan in PDF and EPUB


4  Book(s)
Download this eBook Evolutionary Multi-Task Optimization
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Evolutionary Multi-Task Optimization


Liang Feng , Abhishek Gupta , Yew Soon Ong , Kay Chen Tan


A remarkable facet of the human brain is its ability to manage multiple tasks with apparent simultaneity. Knowledge learned from one task can then be used to enhance problem-solving in other related tasks. In machine learning, the idea of leveraging relevant information...

Publication date: 2023-03-29
Format: PDF, ePub
Publisher: Springer
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£149,50
Download this eBook Evolutionary Computation and Complex Networks
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Evolutionary Computation and Complex Networks


Hussein A. Abbass , Jing Liu , Kay Chen Tan


This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both...

Publication date: 2018-09-22
Format: PDF, ePub
Publisher: Springer
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£89,50
Download this eBook Modern Industrial Automation Software Design
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Modern Industrial Automation Software Design


Kay Chen Tan , Lingfeng Wang


The main subjects in this book relate to software development using cutting-edge technologies for real-world industrial automation applications A hands-on approach to applying a wide variety of emerging technologies to modern industrial practice problems Explains key...

Publication date: 2006-01-20
Format: PDF
Publisher: Wiley-IEEE Press
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£128,66
Download this eBook Multiobjective Evolutionary Algorithms and Applications
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Multiobjective Evolutionary Algorithms and Applications


Eik Fun Khor , Tong Heng Lee , Kay Chen Tan


Multiobjective Evolutionary Algorithms and Applications provides comprehensive treatment on the design of multiobjective evolutionary algorithms and their applications in domains covering areas such as control and scheduling. Emphasizing both the theoretical...

Publication date: 2005-11-28
Format: PDF
Publisher: Springer
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£129,50

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