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Télécharger le livre : Evolutionary Multi-Task Optimization
Liang Feng , Abhishek Gupta , Yew Soon Ong , Kay Chen Tan
Evolutionary Multi-Task Optimization
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...
Editeur : Springer
Parution : 2023-03-29
Collection : Machine Learning: Foundations, Methodologies, and Applications
Format(s) : PDF, ePub
168,79 €
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Télécharger le livre : Evolutionary Computation and Complex Networks
Hussein A. Abbass , Jing Liu , Kay Chen Tan
Evolutionary Computation and Complex Networks
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...
Editeur : Springer
Parution : 2018-09-22

Format(s) : PDF, ePub
94,94 €
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Télécharger le livre : Modern Industrial Automation Software Design
Kay Chen Tan , Lingfeng Wang
Modern Industrial Automation Software Design
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...
Editeur : Wiley-IEEE Press
Parution : 2006-01-20

Format(s) : PDF
144,48 €
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Télécharger le livre : Multiobjective Evolutionary Algorithms and Applications
Eik Fun Khor , Tong Heng Lee , Kay Chen Tan
Multiobjective Evolutionary Algorithms and Applications
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...
Editeur : Springer
Parution : 2005-11-28

Format(s) : PDF
147,69 €
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