Reprint

Advances and Novel Approaches in Discrete Optimization

Edited by
October 2020
354 pages
  • ISBN978-3-03943-222-6 (Hardback)
  • ISBN978-3-03943-223-3 (PDF)

This is a Reprint of the Special Issue Advances and Novel Approaches in Discrete Optimization that was published in

Computer Science & Mathematics
Engineering
Physical Sciences
Public Health & Healthcare
Summary
Discrete optimization is an important area of Applied Mathematics with a broad spectrum of applications in many fields. This book results from a Special Issue in the journal Mathematics entitled ‘Advances and Novel Approaches in Discrete Optimization’. It contains 17 articles covering a broad spectrum of subjects which have been selected from 43 submitted papers after a thorough refereeing process. Among other topics, it includes seven articles dealing with scheduling problems, e.g., online scheduling, batching, dual and inverse scheduling problems, or uncertain scheduling problems. Other subjects are graphs and applications, evacuation planning, the max-cut problem, capacitated lot-sizing, and packing algorithms.

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