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- Bjelkemyr, Marcus, 1975-, et al.
(författare)
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Evolutionary Theories in Manufacturing : Inspiration from Biology, Society, and Evolutionary Computing
- 2010
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Ingår i: 10th IFAC Workshop on Intelligent Manufacturing Systems, IMS'10. - : Elsevier BV. - 9783902661777 ; , s. 210-215
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Konferensbidrag (refereegranskat)abstract
- Darwin's evolutionary theory of natural selection has had a strong impact on both science and culture, and has over the last decades become a popular inspiration in engineering sciences. Both the wide range of scientific areas where evolutionary theory is applied, and the simplistic metaphors used to explain evolution in schools and non-scientific situations have caused confusion of how key evolutionary concepts should be understood. In this paper, the cornerstones in biological and social evolutionary theory are identified and addressed from an engineering point of view. Previous efforts to apply evolutionary theories within engineering are then addressed and related to the needs and opportunities within manufacturing and assembly.
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| 2. |
- Lima, Celson, et al.
(författare)
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Towards a service based infrastructure to improve efficiency into energy systems : The NEMO&CODED quest
- 2010
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Ingår i: 10th IFAC Workshop on Intelligent Manufacturing Systems (2010). - : International Federation of Automatic Control. - 9783902661777 ; , s. 162-167
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Konferensbidrag (refereegranskat)abstract
- Energy efficiency is absolutely one of the greatest challenges of our days. The whole chain of actors involved in the generation, distribution, and consumption of energy are not only concerned but also acting towards a more rational and efficient use of energy. Additionally, the use of renewable energy sources also reflects the seriousness of the subject and helps to set up the current landscape on this matter. This is the rationale driving the NEMO&CODED (NEMO) project, which targets the development of a software infrastructure, based on web services and semantic resources aiming to provide the appropriate support to manage energy-related devices (e.g. renewable energy sources, smart meters, etc.) considering an environment where energy is generated, stored, distributed, and consumed in a rational and environmentally correct way. This shall be attained through the comprehensive implementation and instantiation of computational intelligence at resource level and the development of mechanisms that enable the seamless, and online, control/monitoring of aggregations of resources. This paper discusses the NEMO project, namely its vision, goals, preliminary software architecture, evaluation and assessment scenarios, and also points out the further work (research, design, and implementation) to be performed.
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