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View all- Müller-Schloer CTomforde SMüller-Schloer CTomforde S(2017)Self-Organised Order: ExamplesOrganic Computing – Technical Systems for Survival in the Real World10.1007/978-3-319-68477-2_2(13-77)Online publication date: 28-Dec-2017
Meta-heuristic search algorithms are developed to solve optimization problems. Such algorithms are appropriate for global searches because of their global exploration and local exploitation abilities. Swarm intelligence (SI) algorithms comprise a branch ...
A swarm intelligent system is robust, scalable, adaptable, and can efficiently solve complex problems, all through simple behavior. Inspired by biology, swarm intelligent systems, or swarms, utilize emergence, where simple local behaviors distributed ...
Simple rules, when executed by individual agents in a large group, or swarm, can lead to complex behaviors that are often difficult or impossible to predict knowing only the rules. However, aggregate behavior is not always unpredictable-even for swarm ...
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