Intelligent Algorithms for Packing and Cutting Problem / Yunqing Rao, Qiang Luo
Publication year: 2022
ISBN: 978-981-19-5916-5
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Introduces intelligent solving algorithms for classical packing and cutting problem and their variants Investigates novel methods, e.g. reinforcement learning algorithms, for rectangular and irregular packing problems Presents practical engineering application cases in combination of theory and practice investigates in detail the two-dimensional packing and cutting problems in the field of operations research and management science. It introduces the mathematical models and intelligent solving algorithms for these problems, as well as their engineering applications. Most intelligent methods reported in this book have already been applied in reality, which can provide reference for the engineers. The presented novel methods for the two-dimensional packing problem provide a new way to solve the problem for researchers interested in operations research or computer science. This book also introduces three new variants of packing problems and their solving methods, which offer a different research direction.
Subject: Packing problem, Cutting problem, Parallel machine scheduling, Integrated system, Rectangular strip packing, Irregular strip packing, Knapsack packing problem, Reinforcement learning, Packing problem with defects, Intelligent method, Genetic algorithm, Tabu search, Beam search, Variable neighborhood search, Grey wolf optimization, Particle Swarm Optimization, Engineering application, Algorithms, Data Structures, Artificial intelligence, Machine learning, Big data, Mathematical models
