1. Efficient multi-node optimal placement for decoupling capacitors on PCB

2014 IEEE 18th Work. Signal Power Integr.(2014), pp. 1-4

2. Component placement optimizations on PCBs for improved thermal behaviour

38th Int. Spring Seminar on Electronics Technology(2015), pp. 114-117

3. Component placement process optimization for multi-head surface mounting machine based on tabu search and improved shuffled frog-leaping algorithm

2011 3rd Int. Work. Intell. Syst. Appl. ISA 2011 - Proc.

4. Multidisciplinary placement optimization of heat generating electronic components on a printed circuit board in an enclosure

IEEE Transanction on Components and Packaging Technologies(2007), Volume 30, Issue 3, pp. 402-410

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

J. Intell. Manuf.(2012), Volume 23, Issue 3, pp. 883-895

6. Multi-objective optimization by genetic algorithms: A review

Evol. Comput. 1996., Proc. IEEE Int. Conf., pp. 517-522

7. PCB assembly?: An efficient genetic algorithm for slot assignment and component pick and place sequence problems

IEEE International Conference on Components Packaging and Manufacturing(2005), pp. 1485-1492

8. Multiobjective genetic algorithms made easy: Selection sharing and mating restriction

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9. The enhanced genetic algorithms for the optimization design

2010 3rd Int. Conf. Biomed. Eng. Informatics, pp. 2990-2994

10. Diversity improvement of solutions in multiobjective genetic algorithms using pseudo function inverses

Conf. Proc. - IEEE Int. Conf. Syst. Man Cybern.(2011), pp. 2232-2237

11. Genetic algorithms encoding study and a sufficient convergence\ncondition of GAs

IEEE SMC'99 Conf. Proceedings. 1999 IEEE Int. Conf. Syst. Man, Cybern. (Cat. No.99CH37028), Volume 1, pp. 649-652

12. A hybrid genetic algorithm to optimize the printed circuit board assembly process

2010 IEEE International Scientific and Technological Conference(2010), pp. 563-567

13. Detection of electromagnetic radiations sources at the switching time scale using an inverse problem-based resolution method?; application to power electronic circuits

IEEE Trans. Electromagn. Compat.(2015), Volume 57, Issue 1, pp. 52-60

14. Pump scheduling optimization model for water supply system using AWGA

2013 IEEE Symp. Comput. Informatics, pp. 12-17

15. Multiobjective genetic algorithms applied to solve optimization problems

Magn. IEEE Trans.(2002), Volume 38, Issue 2, pp. 1133-1136

16. A particle swarm optimization approach for cost effective SaaS placement on cloud

IEEE International Conference on Computing and Automation (ICCCA 2015)(2015), pp. 686-690

17. The royal road for genetic algorithms?: Fitness landscapes and GA performance

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18. Heat sink model and design analysis based on particle swarm optimization

2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)(2014), pp. 726-731

19. Numerical analysis of novel micro pin fin heat sink with variable fin density

EEE Transanction on Components, Packaging and Manufacturing Technology(2012), Volume 2, Issue 5, pp. 825-833

20. Optimization of heat sink EMI using design of experiments with numerical computational investigation and experimental validation

IEEE Trans. Automat. Contr.(2010), pp. 295-300

21. Inverse sparse tracker with a locally weighted distance metric

IEEE Trans. Image Process.(2015), Volume 24, Issue 9, pp. 2646-2657

22. A quick PCB thermal calculator to aid system design of exposed pad packages

Annu. IEEE Semicond. Therm. Meas. Manag. Symp., pp. 63-69

23. Thermal analysis on PCB using galerkin approach

2011 4th Int. Conf. Model. Simul. Appl. Optim. ICMSAO(2011), pp. 2-7

24. An integrated methodology for multiobjective optimal component placement and heat sink sizing

IEEE Trans. COMPONENTS Packag. Technol.(2005), Volume 28, Issue 4, pp. 869-876

25. Influence of connections as boundary conditions for the thermal design of PCB traces

IEEE Int. Symp. Ind. Electron.(2010), pp. 884-888

26. Optimizing feeder arrangement of a PCB assembly machine for multiple boards

IEEM2010 - IEEE Int. Conf. Ind. Eng. Eng. Manag., pp. 2343-2347

27. Optimal placement of eletronic devices in forced convective cooling conditions

Proc. 14th Int. Conf. (2007), pp. 387-391

28. Flow simulations for ccomponent spacing optimization on PCB boards

IEEE 20th Int. Symp. Des. Technol. Electron. Packag., Volume 23-26, pp. 149-152

29. Multiobjective optimization and multiple constraint handling with evolutionary algorithms - Part I: A unified formulation

IEEE Trans. Syst. Man, Cybern. Part ASystems Humans(2005), Volume 28, Issue 1, pp. 26-37

30. A study on non-random mating and varying population size in genetic algorithms using a royal road function

Proc. 2001 Congr. Evol. Comput. (IEEE Cat. No.01TH8546), Volume 1, pp. 60-66

31. Royal road functions and the (1+lambda) evolutionary algorithm: Almost no speed-up from larger offspring populations

2013 IEEE Congr. Evol. Comput., Volume 23, pp. 424-431