Very recently, swarm intelligence (SI) became the hottest paradigm in the community of computational intelligence and has received extensive attention from many researchers. As we know, SI is the collective problem-solving behavior of groups of animals or artificial agents that result from the local interactions of the individuals with each other and with their environment. As usual, SI systems...

A novel condensed polynomial neural network using particle swarm optimization (PSO) technique is proposed for the task of classification in this paper. In solving classification task classical algorithms such as polynomial neural network (PNN) and its variants need more computational time as the partial descriptions (PDs) grow over the training period layer-by-layer and make the network very co...

Cloud service allows enterprise class and individual users to acquire computing resources from large scale data centers of service providers. This cloud service is more involved in purchasing and consuming manners between providers and users than others. However, Cloud service providers charge users for these services. Specifically, to access data from their globally distributed storage edge se...

We present first results of an ontology alignment approach that is based on discrete particle swarm optimisation. In this paper we will firstly describe, how the algorithm approaches the ontology matching task as an optimisation problem, and briefly sketch how the specific technique of particle swarm optimisation is applied. Secondly, we will briefly discuss the results gained for the Benchmark...