Swarm intelligence (SI) algorithms, a collection of population-based optimization algorithms, have been designed and researched to solve problems which are very difficult, if not impossible, for traditional optimization approaches such as hill-climbing approaches to solve. Most existing SI algorithms are nature-inspired and/or bio-inspired, especially by objects with low level intelligence. The brain storm optimization (BSO) algorithm, a new population-based swarm intelligence algorithm, is inspired by the brainstorming process. In this talk, the brainstorming process will be introduced first, followed by the development of the brain storm optimization algorithm. Then new advances on BSO will be presented. Finally, the BSOs will be looked at from the developmental learning perspective. [Go to the full record in the library's catalogue]
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