Adaptive Computing


Adaptive Computing pdf

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Adaptive Computing in Design and Manufacture


Adaptive Computing in Design and Manufacture

Author: Ian C. Parmee

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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The third evolutionary I adaptive computing conference organised by the Plymouth Engineering Design Centre (PEDC) at the University of Plymouth again explores the utility of various adaptive search algorithms and complementary computational intelligence techniques within the engineering design and manufacturing domains. The intention is to investigate strategies and techniques that are of benefit not only as component I system optimisers but also as exploratory design tools capable of supporting the differing requirements of conceptual, embodiment and detailed design whilst taking into account the many manufacturing criteria influencing design direction. Interest in the integration of adaptive computing technologies with engineering has been rapidly increasing in recent years as practical examples illustrating their potential relating to system performance and design process efficiency have become more apparent. This is in addition to the realisation of significant commercial benefits from the application of evolutionary planning and scheduling strategies. The development of this conference series from annual PEDC one day workshops to the biennial 'Adaptive Computing in Engineering Design and Control' conference and this year's event reflects this growth in both academic and industrial interest. The name change to include manufacture relates to a desire to increase cover of integrated product development aspects, facility layout and scheduling in addition to process I machine control.

Advanced Server Virtualization


Advanced Server Virtualization

Author: David Marshall

language: en

Publisher: CRC Press

Release Date: 2006-05-17


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Presenting practical guidelines and examples, Advanced Server Virtualization emphasizes design, implementation, and management from both a technical and consultative point of view. It features step-by-step guidelines for planning, deployment, installing, configuring, and creating virtual servers. Covering Microsoft Virtual Server and VMware, it addresses platform-specific virtualization features such as virtual machines, hard drives, networking, and resource management. It offers best practices that allow users to avoid common pitfalls and achieve success faster during server virtualization implementations. It also discusses software licensing issues and the cost-benefits of deploying virtual servers.

Adaptive Computing in Design and Manufacture V


Adaptive Computing in Design and Manufacture V

Author: I.C. Parmee

language: en

Publisher: Springer Science & Business Media

Release Date: 2002-04-18


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The Adaptive Computing in Design and Manufacture Conference series is now in its tenth year and has become a well-established, application-oriented meeting recognised by several UK Engineering Institutions and the International Society of Genetic and Evolutionary Computing. The main theme of the conference again relates to the integration of evolutionary and adaptive computing technologies with design and manufacturing processes whilst also taking into account complementary advanced computing technologies. Evolutionary and adaptive computing techniques continue to increase their penetration of industrial and commercial practice as their powerful search, exploration and optimisation capabilities become ever more apparent. The last two years have seen a very significant increase in the development of commercial software tools utilising adaptive computing technologies and the emergence of related commercial research and consultancy organisations supporting the introduction of best practice in terms of industrial utilisation. Adaptive Computing in Design and Manufacture V is comprised of selected papers that cover a diverse set of industrial application areas including: engineering design and design environments, manufacturing process design, scheduling and control, electronic circuit design, fault detection. Various aspects of search and optimisation such as multi-objective and constrained optimisation are also investigated in the context of integration with industrial processes. In addition to evolutionary computing techniques, both neural-net and agent-based technologies play a role in a number of contributions. This collection of papers will be of particular interest to both industrial researchers and practitioners in addition to the academic research communities of engineering, operational research and computer science.