Titlebook: Intelligent and Evolutionary Systems; Mitsuo Gen,David Green,Byoung-Tak Zhang Book 2009 Springer-Verlag Berlin Heidelberg 2009 Bayesian ne

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Evolving Networks with Enhanced Linear Stability Properties,iggered by seemingly minor local events. Increased understanding of why this occurs and, importantly, the properties of the network that allow it to occur, is thus desirable. In this account we use an evolutionary algorithm to evolve complex networks that have enhanced linear stability properties. W

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Priority-Based Genetic Algorithm for Shortest Path Routing Problem in OSPF,existing resources. Routing of data packets is the most important way to improve network utilization. Open Shortest Path First (OSPF) is the first widely deployed routing protocol that could converge a network in the low seconds, and guarantee loop-free paths. In this paper, we propose a new shortes

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Multiobjective Genetic Algorithm for Bicriteria Network Design Problems,oblems typically cannot be solved by a generalized approach. Usually we must design the different algorithm for the different type of network optimization problem depending on the characteristics of the problem. In this paper, we try to investigate with a broad spectrum of multi-criteria network des

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Evolution of Retinal Blood Vessel Segmentation Methodology Using Wavelet Transforms for Assessment diabetes, but this figure is conservative, due to the presence of subclinical diabetes, where the disease is undiagnosed, yet is already damaging the body without manifesting substantial symptoms. This incidence rate is not confined to Australia, but is typical of developed nations, and even higher

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Implementation of Parallel Genetic Algorithms on Graphics Processing Units,quitous personal computers. HGA extends the classical genetic algorithm by incorporating the Cauchy mutation operator from evolutionary programming. In our parallel HGA, all steps except the random number generation procedure are performed in GPU and thus our parallel HGA can be executed effectively