The society of mind
Swarm intelligence
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
From Natural to Artificial Swarm Intelligence
From Natural to Artificial Swarm Intelligence
Design and Analysis of Experiments
Design and Analysis of Experiments
Experimental research in evolutionary computation
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Environments for multiagent systems state-of-the-art and research challenges
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Special issue on Nature-inspired systems for parallel, asynchronous and decentralised environments
Multiagent and Grid Systems - Special Issue on Nature inspired systems for parallel, asynchronous and decentralised environments
A Scalable and Adaptive Distributed Service Discovery Mechanism in SOC Environments
NPC '08 Proceedings of the IFIP International Conference on Network and Parallel Computing
Reusable grid computing architecture based on code propagation method
International Journal of Intelligent Information and Database Systems
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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 centralised master/slave approach. However, the natural systems on which nature-inspired algorithms are based possess many additional characteristics that are of potential benefit within computing environments. In this paper, we discuss the benefits of nature-inspired techniques within modern and emerging computing environments. Software entities within these environments execute and interact in a fashion that is parallel, asynchronous, and decentralised. Given that the natural environment is in itself parallel, asynchronous and decentralised, nature-inspired techniques are an excellent fit for computing environments that exhibit these characteristics. Future research challenges for nature-inspired techniques within emerging computing environments are also discussed.