Cooperative media control parameter optimization of the integrated mixing and paving machine based on the fuzzy cuckoo search algorithm

Abstract First, this paper studies the MOH material mixing and paving equipment technology, and quantifies the correlations between each variable through the data fitting based on massive experimental data. Then, with the operation speed as the design variable and yielding the maximum mixing efficiency, minimum slip ratio and highest measuring accuracy as the three performance optimization objectives, an operation speed optimization model for the integrated mixer and paver has been built. Moreover, the principles and workflows of the cuckoo search are investigated, the population diversity and convergence rate of the cuckoo search are improved by using the fuzzy logic, and subsequently the operation speed optimization model is solved using the modified cuckoo search. At last, a simulation test based on MATLAB is carried out for validation. Research results show that the optimization results based on the modified cuckoo search algorithm excels those of frequently-used optimization algorithms such as the conventional cuckoo search and genetic algorithm. Also, the comparison between the cases of the optimized and standard operation speeds show that the mixing efficiency of the integrated mixing and paving machine can grow by 15.3%; the slip ratio drops by 54.2%; the measuring accuracy rises by 18.2%.

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