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An Improved Genetic Algorithm for Fast Configuration Design of Large-scale Container Cranes |
Yongsheng Yang, Bowei Xu, Junjun Li |
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Abstract According to the design characteristics of large-scale container
cranes, requirement and anti-requirement are analyzed. A
requirement-driven gene evolution model is established for a hybrid
configuration design of instantiated products. The data structure of
the virtual chromosomes of the case-template-based products is
disclosed. Through comprehensive consideration of partial similarity
between case template and customer requirements, compatibility among
sub-parts, a mathematical model for hybrid configuration design of
instantiated products is designed. By referring to the principles
and methods in biological gene-engineering and the `hybrid
excellence' principles of breeding methodologies, a fast
configuration design algorithm is proposed based on the genetic
algorithm, which supports innovative and detailed design of
instantiated products. Excellent features of products are configured
and optimal configuration designs are implemented by choosing
parents, polymerization hybridization, uniform mutation
and horizontal cross. An example of designing the cart mechanism is
provided, and the results show that optimal convergence and customer
satisfaction are also achieved.
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DOI:10.12733/jics20106268 |
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