Title
Effects of Duplication Operator in Evolutionary Simultaneous Design Optimization of Multiple Cars
Abstract
We propose a duplication operator to increase the number of common design parts in the simultaneous design optimization of multiple cars. In the optimization problem, we optimize a combined sets of design variables of multiple cars simultaneously and tries to increase the number of common parts among multiple cars. In order to increase the number of common parts, the design variable values of the same design parts among multiple cars should be matched. However, it is a hard task to evolutionary algorithms treating each variable independently and varying it stochastically. To improve the number of common parts among multiple cars, we propose a duplication operator copying a variable value of a car to others, and verify its effectiveness when we combined with three algorithms, NSGA-III, MOEA/D, and TNSDM-A. As the results, we show that the proposed duplication operator improves the number of common parts and the combination with TNSDM-A achieves the highest search performance.
Year
DOI
Venue
2018
10.1109/SCIS-ISIS.2018.00089
2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS)
Keywords
Field
DocType
multi-objective optimization, constraint handling, evolutionary algorithms, simultaneous optimization
Mathematical optimization,Computer science,Artificial intelligence,Operator (computer programming),Gene duplication
Conference
ISSN
ISBN
Citations 
2377-6870
978-1-5386-2634-4
0
PageRank 
References 
Authors
0.34
7
6
Name
Order
Citations
PageRank
Minami Miyakawa1156.41
Hiroyuki Sato228130.81
Haruka Matsumoto300.34
Mariko Tanaka400.34
Mikiko Sato52211.53
Yuji Sato64818.14