Comparison of Particle SWARM Optimization, Genetic Algorithm and Max separable Technique for Machine Time Scheduling Problem

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Abstract
In this paper we deal with a multi cycle machine time scheduling problem (MTSP) to find the best starting time for each machine in each cycle. We introduce an algorithm by using the particle SWARM optimization (PSO) and Genetic algorithm to solve the MTSP. A comparison between PSO, GA and max-separable technique will be introduced to find the best solution which is the best starting time respect to its time window for each machine in each cycle and respect to the set of precedence machines to minimize the penalty cost.

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