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Differential Evolution in Discrete and Combinatorial Optimization
Author

Daniel Lichtblau
Organization: Wolfram Research, Inc.
Revision date

2010-04-07
Description

Mathematica tutorial notes

We will show a number of ways in which Differential Evolution, a member of the genetic/evolutionary family of optimization methods, can be used for the purpose of discrete optimization. Problems under consideration include standard integer linear programming, knapsack problems, set partitioning, set covering, quadratic assignment, mixed (discrete-continuous) optimization, and more.
Subject

*Mathematica Technology
Keywords

discrete optimization, minimization, differential evolution, NMinimize, operations research
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DE_discrete_combinatorial_tutorial.pdf (177.2 KB) - PDF Document
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DE_discrete_combinatorial_tutorial.nb (455.6 KB) - Mathematica Notebook