Non-blind Adaptive Cat Swarm Optimization for Workshop Scheduling

A non-blind adaptive cat swarm optimization algorithm was proposed aiming at the workshop scheduling. The discrete sequences were mapped to real coding based on ranked order value. The reverse learning was applied to initialize the population. Also, the non-blind adaptive strategy was adopted to improve the mode assignment rule of cat swarm optimization, enhance the adaptivity of parameters in the seeking and tracking mode in order to ensure both the global search and local search. The results indicated that the non-blind adaptive cat swarm optimization was robust and could get better scheduling solutions in large scale workshop scheduling problem.