Collaborative Optimization of Excavator Boom Mechanism Parameters under Multiple Loading Conditions

Abstract:

On the base of explaining Multi-Objective Optimization Problems (MOOP) and Collaborative Optimization Techniques (COT), this paper puts forward an original and efficient approach—Collaborative Optimization Technique for Multi-Objective Optimization Problems (COTMOOP)—which combines Collaborative Optimization (CO) techniques and Evolutionary Algorithms (EAs). It has been developed so as to facilitate the organizations and increase the performances of complex coupling systems design and optimization. The newly method has been succeeded in applying to the design and optimization of excavator boom mechanism that is a complex coupling system. The optimal solutions can prove that the approach is efficient and practical.

• Periodical: Advanced Materials Research (Volumes 655-657)
• Pages: 390-395
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.655-657.390
• Online since: January 2013
• Authors: Guang Qiu Yin, Shu He Zheng, Shu Wen Lin
• Keywords: Boom Mechanism, Collaborative Optimization, Multi-Objective Optimization (MOP)

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