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Genetic Programming for Production Scheduling : An Evolutionary Learning Approach by Fangfang Zhang, Su Nguyen, Yi Mei, Mengjie Zhang is a nonfiction available to read on EtoBox.

What is Genetic Programming for Production Scheduling : An Evolutionary Learning Approach about?

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 tec

Who reads Genetic Programming for Production Scheduling : An Evolutionary Learning Approach?

Author

Fangfang Zhang, Su Nguyen, Yi Mei, Mengjie Zhang

Publisher

Springer Singapore, Imprint: Springer

Published

2021

Language

EN

ISBN

9789811648595

Category

nonfiction

Subjects

Business, Engineering, Mathematics