An Improved Genetic Algorithm for Fast Configuration Design of Large-scale Container Cranes

摘要

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.