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A unified model of optimisation problems

Published: 07 July 2007 Publication History

Abstract

In this work, a conceptual software model of optimisation problems is developed. Problem-specific aspects are clearly identified as such. To achieve the desired separation between problems and solvers, the details of the problem are encapsulated, and \emph{mechanisms} capable of supporting the optimisation process are provided in a problem-independent way, allowing optimisers to be formulated at a more abstract level. The proposed model has been prototyped in Python.

References

[1]
T. H. Cormen, C. E. Leiserson, and R. L. Rivest. Introduction to Algorithms. MIT Press, Massachusetts, 1990.
[2]
P. Taylor. Practical Foudations of Mathematics. Cambridge University Press, 1999.

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cover image ACM Conferences
GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation
July 2007
2313 pages
ISBN:9781595936974
DOI:10.1145/1276958

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2007

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  1. conceptual software model
  2. optimisation problems

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GECCO '07 Paper Acceptance Rate 266 of 577 submissions, 46%;
Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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