Tous les ebooks de la collection "Machine Learning: Foundations, Methodologies, and Applications" - Springer

2 Livre(s)
Télécharger le livre : 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...

Editeur : Springer
Parution : 2023-03-29
Collection : Machine Learning: Foundations, Methodologies, and Applications
PDF, ePub

168,79 €
Télécharger le livre : Genetic Programming for Production Scheduling
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Genetic Programming for Production Scheduling
Yi Mei , Su Nguyen , Mengjie Zhang , Fangfang Zhang
This book introduces readers to an evolutionary learning approach, specifically genetic programming (GP), for production scheduling. The book is divided into six parts. In Part I, it provides an introduction to production scheduling, existing solution methods, and the...

Editeur : Springer
Parution : 2021-11-12
Collection : Machine Learning: Foundations, Methodologies, and Applications
PDF, ePub

147,69 €