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Cluster analysis is important in scientific and industrial fields. In this study, we proposed a novel chaotic biogeography-based optimization (CBBO) method, and applied it in centroid-based clustering methods. The results over three types of simulation data showed that this proposed CBBO method gave better performance than chaotic particle swarm optimization, genetic algorithm, firefly algorithm,...
A simulation and optimization process based on the electrical network model is presented to recover selenium from solutions using S 108 resins in a continuous counter-current decantation ion exchange system (CCDS). The system's performance is affected by multiple parameters, including the selenium concentration, inlet flow rate, cycle operating time, desorption solution flow rate, resin mass transferred...
The resource-constrained multi-project scheduling (RCMPS) is a NP-hard problem and has been extensively used in manufacturing and engineering fields. In order to solve scheduling of RCMPS, a new algorithm was presented in this paper. The new algorithm combines the some advantages of ACOA and NN . Finally, the algorithm was tested on a case of the RCMPS and the results were presented in the paper....
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