Weight minimization of a speed reducer by heuristic and decomposition techniques
Document Type
Article
Date of Original Version
1-1-1982
Abstract
Discrete combinatorial optimization techniques (heuristics)[1-5] have been extended for optimum synthesis of medium-and-large-scale mechanical systems [6,7]. Decomposition techniques based on the kinematic structure of mechanisms have been developed. Other decompisition methods have been previously outlined[7]. The decompositon techniques were then combined with a heuristic search to obtain efficient optimization method for large-scale mechanical systems. The optimization scheme has been applied for weight minimization of a speed reducer. The results obtained by the techniques, which have been developed, indicate that these methods are more efficient than various schemes, such as adaptive optimization approach, random-gradient technique, and Monte-Carlo method. all previously employed for weight minimization of a speed reducer. © 1982.
Publication Title, e.g., Journal
Mechanism and Machine Theory
Volume
17
Issue
4
Citation/Publisher Attribution
Datseris, P.. "Weight minimization of a speed reducer by heuristic and decomposition techniques." Mechanism and Machine Theory 17, 4 (1982): 255-262. doi: 10.1016/0094-114X(82)90049-0.