Nature Inspired Distributed Computing (NIDISC'08)
نویسنده
چکیده
This section contains the papers presented at the International Workshop on Nature In-spired Distributed Computing (NIDISC'06) which is held in conjunction with the International Parallel and Distributed Processing Symposium (IPDPS 2006), April, 2006, Rhodes, Greece. NIDISC aims to provide an opportunity for researchers to explore the connection between biology, nature-inspired techniques, metaheuristics and the development of solutions to problems that arise in communications, parallel and distributed processing.
منابع مشابه
A roadmap of nature-inspired systems research and development
Nature-inspired algorithms such as genetic algorithms, particle swarm optimisation and ant colony algorithms have successfully solved computer science problems of search and optimisation. The initial implementations of these techniques focused on static problems solved on single machines. These have been extended by adding parallelisation capabilities in the vein of distributed computing with a...
متن کاملReview of nature-inspired methods for wake-up scheduling in wireless sensor networks
Over the last few decades, algorithms inspired by nature have matured into a widely used class of computing methods. They have shown the ability to adjust to variety of conditions, and have been frequently employed for solving complex, real-world optimization problems. They are especially suitable for problems that require adaptation, and that involve optimization of complex, distributed system...
متن کاملGuest Editorial: Special Issue on Nature Inspired Cooperative Strategies for Optimization (Part I)
Nature is an unlimited source of resilient, robust, fine tuned, complex mechanisms and phenomena which have been the subject of exploration and exploitation in science and engineering. In particular, understanding complex cooperative systems in nature has driven computer scientists and practitioners to outstanding developments ranging from versatile models and architectures to highly effective ...
متن کاملMoving Nature-Inspired Algorithms to Parallel, Asynchronous and Decentralised Environments
This paper motivates research into implementing nature-inspired algorithms in decentralised, asynchronous and parallel environments. These characteristics typify environments such as Peer-To-Peer systems, the Grid and autonomic computing which demand robustness, decentralisation, parallelism, asynchronicity and self-organisation. Nature-inspired systems promise these properties. However, curren...
متن کاملSpecial issue on Nature-inspired systems for parallel, asynchronous and decentralised environments
Nature-inspired algorithms such as genetic algorithms, particle swarm optimisation and ant colony algorithms are the state-of-the-art solution technique for some problems. Furthermore, their populationbased stochastic search approach promises desirable algorithm features such as anytime decentralised solution and robustness to problem change. However, the efficient pursuit of more accurate solu...
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