Visual computing resources distribution and balancing by multimodal cat swarm optimization

Bo Deng, Xiaomo Yu, Guiqin Yan, Ligang Wu

Abstract: Highlights•We proposed a novel multi-view cat swarm optimization algorithm to optimize the assignment of each visual data to the appropriate remote server.•An intelligent multi-channel feature fusion algorithm that automatically calculates the importance of each feature channel.•Comprehensive experimental evaluation to testify the competitiveness of our MSCO toward the state-of-the-art clustering-based optimization framework.