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Now showing items 11-14 of 14
Examining the use of a non-trivial fixed genotype-phenotype mapping in genetic algorithms to induce phenotypic variability over deceptive uncertain landscapes
(IEEE, 2011-06-05)
In nature, living organisms can be viewed as the product of their genotype-phenotype mapping (GP-map). This paper presents a GP-map loosely based on the biological phe- nomena of transcription and translation, to create a ...
Particle swarm optimisation with gradually increasing directed neighbourhoods
(Association for Computing Machiner, 2011)
Particle swarm optimisation (PSO) is an intelligent random search algorithm, and the key to success is to effectively balance between the exploration of the solution space in the early stages and the exploitation of the ...
Applying reinforcement learning towards automating resource allocation and application scalability in the cloud
(Wiley, 2012-05-30)
Public Infrastructure as a Service (IaaS) clouds such as Amazon, GoGrid and Rackspace deliver computational resources by means of virtualisation technologies. These technologies allow multiple independent virtual machines ...
Altering the granularity of neutrality in a multi-layered genetic algorithm
(SciTePress Digital Library, 2014)
By adopting a basic interpretation of the biological processes of transcription and translation, the multilayered GA (MGA) introduces a genotype-phenotype mapping for a haploid genotype, which allows the granularity of the ...