A Novel Combined Approach of k-Means and Genetic Algorithm to Cluster Cultural Goods in Household Budget

2015 ◽  
pp. 273-283
Author(s):  
Sara Sadat Babaie ◽  
Ebadati E. Omid Mahdi ◽  
Tohid Firoozan
Keyword(s):  
Genetic Algorithm ◽  
Combined Approach ◽  
Cultural Goods ◽  
Household Budget

Research on design rules for composite laminate

2015 ◽  
Vol 22 (3) ◽  
pp. 315-323
Author(s):  
Gong-Dong Wang ◽  
Jun Wang ◽  
Sayed K.M. Hossain ◽  
Hao Chen
Keyword(s):  
Genetic Algorithm ◽  
Convergence Rate ◽  
Composite Laminate ◽  
Convergence Speed ◽  
Stacking Sequence ◽  
Combined Approach ◽  
Design Rules ◽  
Optimization Result ◽  
Fitness Value ◽  
Laminate Design

AbstractA methodology of laminate design rules is proposed to incorporate constraint in genetic algorithm (GA). It can provide optimization result that conforms to the composite design rules. Several methods such as replacement approach, swap approach, combined approach, and zero fitness approach are introduced to execute the laminate design rules concept. Effects are analyzed in terms of fitness value and convergence rate. Using rule operators, the convergence speed of the GA is increased. The proposed solutions will be more suitable than standard GA for some particular application with their conformance to the design rules. As a result, these methods are successfully applied and a practical optimal stacking sequence is obtained with the most appropriate for design rules.

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