|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Title:||Optimisation of Process Algebra Models Using Evolutionary Computation|
|Citation:||Marco D, Cairns D & Shankland C (2011) Optimisation of Process Algebra Models Using Evolutionary Computation In: IEEE Congress on Evolutionary Computation (CEC), 2011, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). IEEE Congress on Evolutionary Computation, 5.6.2011 - 8.6.2011, Singapore, pp. 1296-1301.|
|Series/Report no.:||IEEE Congress on Evolutionary Computation (CEC)|
|Conference Name:||IEEE Congress on Evolutionary Computation|
|Abstract:||We propose that process algebras and evolutionary algorithms have complementary strengths for developing models of complex systems. Evolutionary algorithms are powerful methods for finding solutions to optimisation problems with large search spaces but require an accurately defined fitness function to provide valid results. Process algebras are an effective method for defining models of complex interacting processes, but tuning parameters to allow model outputs to match experimental data can be difficult. Defining models in the first place can also be problematic. Our long term goal is to build a framework to synthesise process algebra models. Here we present a first step in that development: combining process algebra with an evolutionary approach to fine tune the numeric parameters of predefined models. The Evolving Process Algebra (EPA) framework is demonstrated through examples from epidemiology and computer science.|
|Rights:||The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.|
|Marco2011.pdf||262.22 kB||Adobe PDF||Under Embargo until 31/12/2999 Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact email@example.com providing details and we will remove the Work from public display in STORRE and investigate your claim.