Optimization of electronics component placement design on PCB using self organizing genetic algorithm (SOGA)

2010 ◽  
Vol 23 (3) ◽  
pp. 883-895 ◽  
Author(s):  
Fatimah Sham Ismail ◽  
Rubiyah Yusof ◽  
Marzuki Khalid
2018 ◽  
Vol 29 (1) ◽  
pp. 1151-1165
Author(s):  
Wael Almadhoun ◽  
Mohammad Hamdan

Abstract In agile software processes, the issue of team size is an important one. In this work we look at how to find the optimal, or near optimal, self-organizing team size using a genetic algorithm (GA) which considers team communication efforts. Communication, authority, roles, and learning are the team’s performance characteristics. The GA has been developed according to performance characteristics. A survey was used to evaluate the communication weight factors, which were qualitatively assessed and used in the algorithm’s objective function. The GA experiments were performed in different stages: each stage results were tested and compared with the previous results. The results show that self-organizing teams of sizes ranged from five to nine members scored more. The model can be improved by adding other team characteristics, i.e. software development efforts and costs.


1998 ◽  
Vol 15 (4) ◽  
pp. 404-410 ◽  
Author(s):  
Jeong-Woo Choi ◽  
Jin Man Cho ◽  
Jung Gun Lee ◽  
Won Hong Lee ◽  
Ik Hwan Kim ◽  
...  

2012 ◽  
Vol 54 (8) ◽  
pp. 1824-1828 ◽  
Author(s):  
C. R. M. Silva ◽  
H. W. C. Lins ◽  
S. R. Martins ◽  
E. L. F. Barreto ◽  
A. G. d'Assunção

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