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Parallel genetic algorithms, population genetics and combinatorial optimization

  • H. Mühlenbein
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 565)

Abstract

In this paper we introduce our asynchronous parallel genetic algorithm ASPARAGOS. The two major extensions compared to genetic algorithms are the following. First, individuals live on a 2-D grid and selection is done locally in the neighborhood. Second, each individual does local hill climbing. The rationale for these extensions is discussed within the framework of population genetics. We have applied ASPARAGOS to an important combinatorial optimization problem, the quadratic assignment problem. ASPARAGOS found a new optimum for the largest published problem. It is able to solve much larger problems. The algorithm uses a polysexual voting recombination operator.

Keywords

Genetic Algorithm Travel Salesman Problem Travel Salesman Problem Quadratic Assignment Problem Island Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • H. Mühlenbein
    • 1
  1. 1.GMDSt. Augustin 1

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