Minimization of incompletely specified mixed polarity Reed Muller functions using genetic algorithm.
Conference Proceeding
Al-Jassani, B. A., Urquhart, N. B., & Almaini, A. E. A. (2009)
Minimization of incompletely specified mixed polarity Reed Muller functions using genetic algorithm. https://doi.org/10.1109/12.67320
A New and efficient Genetic Algorithm (GA) based approach is presented to minimise the number of terms of Mixed Polarity Reed Muller (MPRM) single and multi output incompletel...
CO2Y the intelligent green solution: minimising carbon emissions by maximising shared travel opportunity.
Presentation / Conference
Urquhart, N. B., McEwan, T., Holden, R., & Vogogias, T. (2009, May)
CO2Y the intelligent green solution: minimising carbon emissions by maximising shared travel opportunity. Paper presented at Scottish Transport Applications Research Conference, Glasgow
It is in the interests of everybody that the environment is protected. In view of the recent leaps in environmental awareness it would seem timely and sensible, therefore, for...
Optimization of MPRM functions using tabular techniques and genetic algorithms.
Journal Article
Al-Jassani, B. A., Urquhart, N. B. & Almaini, A. E. A. (2007)
Optimization of MPRM functions using tabular techniques and genetic algorithms. The Mediterranean journal of electronics and communications. 4, 115-125. ISSN 1744-2400
This paper presents new techniques and algorithms to compute and optimize Mixed Polarity Reed Muller logic functions (MPRM) using Tabular techniques and Genetic Algorithms (GA...
Carbon-friendly travel plan construction using an evolutionary algorithm
Conference Proceeding
Urquhart, N. B., & Urquhart, N. B. (2007)
Carbon-friendly travel plan construction using an evolutionary algorithm. In H. Lipson (Ed.), GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation (2269). https://doi.org/10.1145/1276958.1277404
This paper discusses the use of an evolutionary algorithm to design workplace travel plans, to promote car sharing and reduce carbon emissions from single-occupancy motor veh...
Building distribution networks using cooperative agents.
Book Chapter
Urquhart, N. B. (2006)
Building distribution networks using cooperative agents. In J. Rennard (Ed.), Handbook of Research on Nature Inspired Computing for Economics and Management, 465-482. Idea Group Reference. https://doi.org/10.4018/978-1-59140-984-7.ch037
This chapter examines the use of emergent computing to optimize solutions to logistics problems. The chapter initially explores the use of agents and evolutionary algorithms t...
Real-time construction of aircraft landing schedules using an evolutionary algorithm
Conference Proceeding
Urquhart, N. (2006)
Real-time construction of aircraft landing schedules using an evolutionary algorithm. In M. Cattolico, M. Keijzer, M. O. Neill, & C. M. Ryan (Eds.), Genetic and Evolutionary Computation Conference (GECCO)https://doi.org/10.1145/1143997.1144309
This poster investigates the use of Evolutionary Algorithms (EAs) to optimise solutions to the Dynamic Aircraft Landing Problem (DALP). The approach adopted here uses an EA to...
Optimising despatch times in a supermarket delivery system.
Presentation / Conference
Urquhart, N. B. (2005, January)
Optimising despatch times in a supermarket delivery system. Paper presented at Universities Transport Study Group 2005, Bristol, UK
Phase transition properties of clustered travelling salesman problem instances generated with evolutionary computation.
Conference Proceeding
van Hemert, J. I. & Urquhart, N. B. (2004)
Phase transition properties of clustered travelling salesman problem instances generated with evolutionary computation. ISBN 3540230920
We introduce a generator that creates problem instances for the Euclidean symmetric travelling salesman problem. To fit real world problems, we look at maps consisting of clus...
Supporting the teaching of Java using surgeries.
Presentation / Conference
Urquhart, N. B. (2004, January)
Supporting the teaching of Java using surgeries. Paper presented at LTSN 1 day conference on the teaching of programming., Birmingham
Solving Real-World Routing Problems using Evolutionary Algorithms and Multi-Agent-Systems.
Thesis
Urquhart, N. B. Solving Real-World Routing Problems using Evolutionary Algorithms and Multi-Agent-Systems. (Thesis)
Napier University. Retrieved from http://researchrepository.napier.ac.uk/id/eprint/2748
This thesis investigates the solving of routing problems using Evolutionary Algorithms (EAs). Routing problems are known to be hard and may possess complex search spaces. Evol...