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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    BT technology journal 18 (2000), S. 73-75 
    ISSN: 1573-1995
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract The traditional 'Von Neumann' computing architecture is serial and digital. This way of organising things has proved to be very powerful and has allowed spectacular progress in computation, riding on the back of spectacular increases in speed of the central processor. Though the Von Neumann model has outstripped futurologists' dreams in its favoured domains, it has failed to meet expectations in others. Highly parallel, asynchronous, distributed problems highlight its weaknesses. Such complexity is inevitable in today's highly connected networks and dynamic environments with information asymmetries and delays, and myriad interactions among components. There are two ways to address the shortcomings in difficult but important problem domains like these. One is to increase the speed of traditional computing. This is being done, with year-on-year increases in hardware and software performance. The second is to seek new computational architectures which address problems more efficiently. This is also an active research area, and it is the subject of this paper. We are drawing inspirations from nature to deal with the twin challenges of parallel asynchronous problem domains and network system complexity that characterise the information age.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    BT technology journal 18 (2000), S. 122-128 
    ISSN: 1573-1995
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract Boolean keyword trees can be used for information filtering. When they are generated by an evolutionary algorithm they can adapt to changes in the user's interests. This paper presents a non-discrete tree model that has been designed to be easier to evolve than more commonly used Boolean trees. Each tree is encoded by a genome that contains binary data as well as real-valued data. The results of the experiments are promising and suggest that the proposed model indeed offers an improvement.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    BT technology journal 18 (2000), S. 24-31 
    ISSN: 1573-1995
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract The Eos platform supports research and rapid implementation of evolutionary algorithms, ecosystem simulations and hybrid models. It also supports fast prototyping of industrial applications using these technologies. A large and rapidly growing library of evolutionary algorithm types and options is provided which together with a flexible configuration system allows a 'plug-and-play' construction of novel algorithms. Support for ecosystem models includes classes for multiple types of physical space (n-dimensional discrete or continuous Cartesian space, graph space), complex interactions between entities, and movement of individuals between populations. The flexibility of the Eos platform is expected to provide a powerful environment for developing new algorithms and architectures. Eos is implemented in Java™ for portability and to allow easy extension of the core functionality. It supports transparent distribution of evolutionary and ecosystem implementations across multi-processor computer clusters. This paper describes the architecture and functionality of the Eos platform and illustrates its use by way of a number of example applications.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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