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5.1.3 Emergence : Applying the Principles ‐ using Genetic Algorithms to derive schedules
Author(s) -
McConnell George R.
Publication year - 2003
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2003.tb02606.x
Subject(s) - computer science , cover (algebra) , scheduling (production processes) , genetic algorithm , algorithm , mathematical optimization , machine learning , mathematics , engineering , mechanical engineering
Recognising the existence of the ‘other’ perspectives of a given situation results in improved understanding of the emergent properties of a system. This paper builds on a theoretical stance outlined in a paper at the INCOSE International Symposium in 2001 by providing an example of the application of a technique, Genetic Algorithms, which can assist in avoiding some of the biases introduced and incorrect assumptions made by everyone when solving a problem. The paper does not cover the details of the technique, concentrating instead on the use of the technique to solve a scheduling problem. A full description of the prototype solution is given and a brief overview of the differences between that prototype and the final version is provided.