Dual Objective Multidimensional Parameter Optimization of Cam Curve Based on Improved Ant Colony Algorithm

Abstract:

By applying improved ant colony algorithm, this paper analyzed multi-objective design problem in optimal design of cam mechanism profile curve, which were then transformed into TSP problem, that is, multi-objective function minimization problem into TSP shortest path searching problem. For the multiple complex variables and target weight parameters in design, a concept of multidimensional space node in ant colony optimization path was proposed, converting multi-objective function with weight coefficient into a multidimensional space nodes (city).At the same time, improved ant colony algorithm, combined with genetic algorithm, was used to avoid optimization calculation falling into a locally optimal solution. Exemplified by dual objective function in cam mechanism profile curve design, this paper solved optimal value problem of dual objective optimization design involving the biggest fullness coefficient and minimum abrasion quantity of variable weight coefficient under the three-dimensional parameters n, m and w.

• Periodical: Advanced Materials Research (Volume 1037)
• Pages: 357-362
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1037.357
• Online since: October 2014
• Authors: Zhen Jun He*, Peng Xu, Jiang Xiao Liao
• Keywords: Cam Mechanism, Improved Ant Colony Algorithm, Multi-Dimension Nodes, Multi-Objective Optimization (MOP)

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