American Society of Agricultural and Biological Engineers



Click on “Download PDF” for the PDF version or on the title for the HTML version.


If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options.

Optimal Design and Process of Threshing Units Based on a Genetic Algorithm. II. Application

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Paper number  013125,  2001 ASAE Annual Meeting. (doi: 10.13031/2013.7431) @2001
Authors:   Petre I. Miu, Mario-George Perhinschi
Keywords:   Algorithm, Axial, Combine harvesters, Computer simulation, Computer software, Fuzzy logic, Models, Optimisation, Separation, Software, Threshing

This paper illustrates the application of an optimization technique based on a multiobjective genetic algorithm (Miu, 2001), for the design and operation parameters of an axial threshing unit.

The genetic algorithm includes float-point representation of the design and functional parameters as well as crop properties that are subject to optimization. The population has 100 individuals (potential solutions) and its size is constant throughout the search process. Classic genetic operators (mutation and crossover) are applied. Improvement of the algorithm performance was obtained using elitist selection strategy. Effects of equal and selective weights in the evaluation function are analysed. Performance of the optimized model is compared with industry design obtained with classical approaches and the improvement in performance is emphasized.

(Download PDF)    (Export to EndNotes)