Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Genetic Programming For Production Scheduling: An Evolutionary Learning ApproachISBN13:9789811648588ISBN10:9811648581Author:Zhang, Fangfang (Author), Nguyen, Su (Author), Mei, Yi (Author)Description: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 Gp Approach To Production Scheduling Characteristics Of Production Environments, Problem Formulations, An Abstract Gp Framework For Production Scheduling, And Evaluation Criteria Are Also Presented Part Ii Shows Various Ways That Gp Can Be Employed To Solve Static Production Scheduling Problems And Their Connections With Conventional Operation Research Methods In Turn, Part Iii Shows How To Design Gp Algorithms For Dynamic Production Scheduling Problems And Describes Advanced Techniques For Enhancing Gp's Performance, Including Feature Selection, Surrogate Modeling, And Specialized Genetic Operators In Part Iv, The Book Addresses How To Use Heuristics To Deal With Multiple, Potentially Conflicting Objectives In Production Scheduling Problems, And Presents An Advanced Multi-Objective Approach With Cooperative Coevolution Techniques Or Multi-Tree Representations Part V Demonstrates How To Use Multitask Learning Techniques In The Hyper-Heuristics Space For Production Scheduling It Also Shows How Surrogate Techniques And Assisted Task Selection Strategies Can Benefit Multitask Learning With Gp For Learning Heuristics In The Context Of Production Scheduling Part Vi Rounds Out The Text With An Outlook On The Future Given Its Scope, The Book Benefits Scientists, Engineers, Researchers, Practitioners, Postgraduates, And Undergraduates In The Areas Of Machine Learning, Artificial Intelligence, Evolutionary Computation, Operations Research, And Industrial Engineering Binding:Hardcover, HardcoverPublisher:SpringerPublication Date:2021-10-22Weight:0 lbsDimensions:Number of Pages:270Language:English
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Book Title: Genetic Programming For Production Scheduling: An Evolutiona...
Item Length: 9.3in
Item Width: 6.1in
Author: Fangfang Zhang, Mengjie Zhang, Yi Mei, Su Nguyen
Publication Name: Genetic Programming for Production Scheduling : an Evolutionary Learning Approach
Format: Hardcover
Language: English
Publisher: Springer
Publication Year: 2021
Series: Machine Learning: Foundations, Methodologies, and Applications Ser.
Type: Textbook
Item Weight: 25.5 Oz
Number of Pages: Xxxiii, 336 Pages
