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  5. Program Optimisation with Dependency Injection
 
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Program Optimisation with Dependency Injection

Author(s)
McDermott, James  
Carroll, Paula  
Uri
http://hdl.handle.net/10197/4950
Date Issued
2013-04
Date Available
2014-04-30T03:00:08Z
Abstract
For many real-world problems, there exist non-deterministic heuristics which generate valid but possibly sub-optimal solutions. The program optimisation with dependency injection method, introduced here, allows such a heuristic to be placed under evolutionary control, allowing search for the optimum. Essentially, the heuristic is “fooled” into using a genome, supplied by a genetic algorithm, in place of the output of its random number generator. The method is demonstrated with generative heuristics in the domains of 3D design and communications network design. It is also used in novel approaches to genetic programming.
Type of Material
Conference Publication
Publisher
Springer
Copyright (Published Version)
Springer-Verlag Berlin Heidelberg 2013
Subjects

Genetic algorithm

Local ring

Random number generat...

Program optimisation

DOI
10.1007/978-3-642-37207-0_12
Language
English
Status of Item
Peer reviewed
Journal
Krawiec, K. et al. (eds.). Genetic Programming : 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013. Proceedings
Conference Details
16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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paper.pdf

Size

735.89 KB

Format

Adobe PDF

Checksum (MD5)

e826719b636f88db7d837a86bb2c88b1

Owning collection
Business Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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