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Diversifying techniques and neutrality in genetic algorithms
(SciTePress Digital Library, 2016)
This paper examines the implicit maintenance of diversity within a population through the inclusion of a layered genotype-phenotype map (GP-map) in a Genetic Algorithm (GA), based on the principal of Neutral theory. The ...
Neutrality through transcription and translation in genetic algorithm representation
(SciTePress Digital Library, 2012-10-05)
This paper examines the use of the biological concepts of transcription and translation, to introduce neutrality into the representation of a genetic algorithm (GA). The aim of the paper is to attempt to identify problem ...
A learning architecture for scheduling workflow applications in the cloud
(IEEE, 2011-09-15)
The scheduling of workflow applications involves the mapping of individual workflow tasks to computational resources, based on a range of functional and non-functional quality of service requirements. Workflow applications ...
Examining the impact of neutrality on genetic algorithm population evolution
(SciTePress Digital Library, 2015-11-12)
This paper examines the introduction of neutrality as proposed by Kimura (Kimura, 1968) into the genotype-phenotype mapping of a Genetic Algorithm (GA). The paper looks at the evolution of both a simple GA (SGA) and a ...
A genetic algorithm with a multi-layered genotype-phenotype mapping
(SciTePress Digital Library, 2010-08-24)
In this paper we investigate the introduction of a multiple-layer genotype-phenotype mapping to a Genetic Algorithm (GA) which attempts to mimic more closely, the effects of nature. The motivation for introducing multiple-layers ...
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 ...
A Comparison of Petri Net and System Dynamics Approaches for Modelling Dynamic Feedback Systems
(2006)
Petri nets are a valuable tool that can be used to simulate workflow systems. They are
based on a state-transition approach, and in common with discrete event simulation,
events can be scheduled to fire at different time ...
An evolutionary approach to automatic kernel construction
(2006)
Abstract. Kernel-based learning presents a unified approach to machine learning problems such as classification and regression. The selection of a kernel and associated parameters is a critical step in the application of ...
Identifying the reality gap between abstract and realistic models using evolved agents and simulated kilobots
(IEEE, 2018-12-12)
A common challenge in evolutionary swarm robotics is the transfer of
simulated results into real-world applications. This difficulty can arise in
a variety of real-world settings and problems such as sensory differences
in ...