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WSC
2008
13 years 7 months ago
A comparative study of genetic algorithm components in simulation-based optimisation
In this paper, we present a comparative study of different stochastic components of genetic algorithms for simulationbased optimisation of the buffer allocation problem. We explor...
Birkan Can, Andreas Beham, Cathal Heavey
PPSN
2004
Springer
13 years 10 months ago
Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms
Cancer chemotherapy is a complex treatment mode that requires balancing the benefits of treating tumours using anti-cancer drugs with the adverse toxic side-effects caused by these...
Andrei Petrovski, Bhavani Sudha, John A. W. McCall
CEC
2003
IEEE
13 years 10 months ago
Comparative studies on micro heat exchanger optimisation
Although many methods for dealing with multi-objective optimisation (MOO) problems are available [Deb01] and successful applications have been reported [Coe01], the comparison betw...
Tatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu ...
KBSE
2009
IEEE
14 years 1 days ago
Let the Ants Deploy Your Software - An ACO Based Deployment Optimisation Strategy
Abstract—Decisions regarding the mapping of software components to hardware nodes affect the quality of the resulting system. Making these decisions is hard when considering the ...
Aldeida Aleti, Lars Grunske, Indika Meedeniya, Ire...
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
13 years 11 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller