Hybrid genetic: Particle swarm optimization algorithm

Studies in Computational Intelligence

Volumn 75, Issue , 2007, Pages 147-170

  Kim, D H ^b   Abraham, Ajith ^a   Hirota, K ^b  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34548301437     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-73297-6_7     Document Type: Article

References (12)

1. Matsummura S (1998), Adaptive control for the steam temperature of thermal power plants, Proceedings of the 1993 IEEE on Control Applications, pp. 1105-1109
2. Kim DH (2004), Robust PID controller tuning using multiobjective optimizaion based on clonal selection of immune algorithm, Proceedings of the International Conference on Knowledge-Based Intelligent Information and Engineering Systems, Springer, Berlin Heidelberg New York, pp. 50-56
3. Lee CH, Ten CC (2003), Calculation of PID controller parameters by using a fuzzy neural network, ISA Transaction, pp. 391-400
4. Mann KI, Hu BG, and Gosine RG (1999), Analysis of direction fuzzy PID controller structures, IEEE Transactions on Systems, Man, and Cybernetics Part B, vol. 29, no. 3, pp. 371-388
5. Lin CL, Su HW (2000), Intelligent control theory in guidance and control system design: An Overview, Proceedings of the National Science Council ROC(A), vol. 24, no. 1, pp. 15-30
6. Fleming PJ and Purshouse RC (2002), Evolutionary algorithms in control system engineering: A survey, control engineering practice, vol. 10, pp. 1223-1241
7. Gaing ZL (2004), A particle swarm optimization approach for optimum design of PID controller in AVR system, IEEE Transactions on Energy Conversion vol. 19, no. 2, pp. 384-391
8. Eberchart R and Kennedy J (1995), A new optimizer using particle swarm theory, Proceedings of the International Symposium on Micro Machine and Human Science, pp. 39-43
9. Michalewicz Z (1999), Genetic algorithms+data structures=evolution programs. Springer, Berlin Heidelberg New York
10. Shi Y and Eberhart R (1998), A modified particle swarm optimizer, Proceedings of the IEEE World Congress on Computational Intelligence, pp. 69-73
11. Yoshida H, Kawata K, and Fukuyama Y (2000), A particle swarm optimization for reactive power and voltage control considering voltage security assessment, IEEE Transactions on Power Systems, vol. 15, pp. 1232-1239
12. Juang CF (2004), A hybrid of genetic algorithm and particle swarm optimization for recurrent network design, Systems, Man and Cybernetics, Part B, IEEE Trans. vol. 34 (2), pp. 997-1006