A genetic based algorithm for the quadratic 0–1 problem

A genetic based algorithm for the quadratic 0–1 problem

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Article ID: iaor20041839
Country: Portugal
Volume: 23
Issue: 1
Start Page Number: 71
End Page Number: 84
Publication Date: Jun 2003
Journal: Investigao Operacional
Authors: ,
Keywords: programming: integer
Abstract:

In this work we present an algorithm to the unrestricted binary quadratic program. This approach combines genetic operators with greedy and heuristic procedures. We started from a genetic based algorithm and replaced the random mutation by a greedy procedure based on each variable contribution to the objective function. We also introduced in the genetic population an individual obtained by a heuristic that finds a local star minimum point. Computational experience with a set of test-problems, known from literature, is reported and analysed. Our results are quite promising.

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