Scroll Plate Optimization Based on GA-PSO
نویسندگان
چکیده
The parts optimization are very important for scroll compressor design. According to existing problems of current optimization algorithm and actual optimization problems, the improved optimization algorithm—genetic-particle swarm optimization (GA-PSO) is proposed for scroll plate optimization. The optimization method integrates crossover of genetic algorithm (GA) and evolutionary mechanism of particle swarm optimization (PSO), the main structure parameters are been as control variable, the optimization mathematics model is developed, making use of crossover of GA and evolutionary mechanism of PSO, GA-PSO realizes the purpose of minimizing value of objective function. GA-PSO is applied to scroll plate optimization on computer, it is shown that the improved approach converges to better solution much faster than the earlier reported approaches through compared with other methods and tested of prototype performance. All the results supply theory and technology support for wide application of GA-PSO in engineering.
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