Uneingeschränkter Zugang

Mutation: A New Operator in Gravitational Search Algorithm Using Fuzzy Controller


Zitieren

1. Akin, A. A., M. P. Saka. Design Optimization of Real World Steel Space Frames Using Artificial Bee Colony with Levy Flight Distribution. - Advance in Engineering Software, Vol. 92, 2016, pp. 1-14.10.1016/j.advengsoft.2015.10.013Search in Google Scholar

2. Cheng, M. Y., D. Prayogo, Y. W. Wu, M. M. Lukito. A Hybrid Harmony Search Algorithm for Discrete Sizing Optimization of Truss Structure. - Automation in Construction, Vol. 69, 2016, pp. 21-33.10.1016/j.autcon.2016.05.023Search in Google Scholar

3. Hooshmand, S. R., A. Khodabakhshian. A New Fuzzy Optimal Reconfiguration of Distribution Systems for Loss Reduction and Load Balancing Using Ant Colony Search-Based Algorithm. - Applied Soft Computing, Vol. 11, 2011, pp. 4021-4028.10.1016/j.asoc.2011.03.003Search in Google Scholar

4. Han, X., X. Chang. Chaotic Secure Communication Based ona Gravitational Search Algorithm Filter. - Engineering Applications of Artificial Intelligence, Vol. 24, 2012, pp.766-774.10.1016/j.engappai.2012.01.014Search in Google Scholar

5. Zhao, W. Adaptive Image Enhancement Based on Gravitational Search Algorithm. - Procedia Engineering, Vol. 15, 2011, pp. 3288-3292.10.1016/j.proeng.2011.08.617Search in Google Scholar

6. Shams, M., E. Rashedi, A. Hakimi. Clustered Gravitational Search Algorithm and Its Application in Parameter Optimization ofa Low Noise Amplifier. - Applied Mathematics and Computation, Vol. 258, 2015, pp. 436-453.10.1016/j.amc.2015.02.020Search in Google Scholar

7. Guo, C., Z. Jiang, H. Zhang, N. Li. Decomposition-Based Classified Ant Colony Optimization Algorithm Forscheduling Semiconductor Wafer Fabrication System. - Computers & Industrial Engineering, Vol. 62, 2012, pp. 141-151.10.1016/j.cie.2011.09.002Search in Google Scholar

8. Mondal, S., A. Bhattacharya, S. H. N. Dey. Multi-Objective Economic Emission Load Dispatch Solutionusing Gravitational Search Algorithm and Consideringwind Power Penetration. - Electrical Power and Energy Systems, Vol. 44, 2013, pp. 282-292.10.1016/j.ijepes.2012.06.049Search in Google Scholar

9. Hu, D., A. Sarosh, Y. F. Dong. An Improved Particleswarm Optimizer for Parametric Optimization of Flexible Satellite Controller. - Applied Mathematics and Computation, Vol. 217, 2011, pp. 8512-8521.10.1016/j.amc.2011.03.055Search in Google Scholar

10. Ganesan, T., I. Elamvazuthi, K. Zilati, K. Shaari, P. Vasant. Swarm Intelligence and Gravitational Search Algorithm for Multi-Objective Optimization of Synthesisgas Production. - Applied Energy, Vol. 103, 2013, pp. 368-374.10.1016/j.apenergy.2012.09.059Search in Google Scholar

11. Rashedi, E., H. Nezamabadi-Pour, S. Saryazdi. Filter Modeling Using Gravitational Search Algorithm. - Engineering Application of Artificial Intelligence, Vol. 24, 2011, No 1, pp. 117-122.10.1016/j.engappai.2010.05.007Search in Google Scholar

12. Chang, P. C., J. J. Lin, C. H. Liu. An Attribute Weight Assignment and Particle Swarm Optimization Algorithm for Medical Database Classifications. - Computer Methods and Programs in Biomedicine, Vol. 107, 2012, pp. 382-392.10.1016/j.cmpb.2010.12.00421194784Search in Google Scholar

13. Sahu, B., D. Mishra. A Novel Feature Selection Algorithm Using Particle Swarm Optimization for Cancer Microarray Data. - Procedia Engineering, Vol. 38, 2012, pp. 27-31.10.1016/j.proeng.2012.06.005Search in Google Scholar

14. Mishra, D. Discovery of Overlapping Pattern Biclustersfrom Gene Expression Data Using Hash Based PSO. - Procedia Technology, Vol. 4, 2012, pp. 390-394.10.1016/j.protcy.2012.05.060Search in Google Scholar

15. Ding, H., L. Benyoucef, X. Xie. A Simulation-Based Multi-Objective Genetic Algorithm Approach for Networked Enterprises Optimization. - Engineering Application of Artificial Intelligence, Vol. 19, 2006, pp. 609-623.10.1016/j.engappai.2005.12.008Search in Google Scholar

16. Guvenca, U., Y. Sonmezb, S. Dumank, N. Yorukerend. Combined Economic and Emission Dispatch Solution Using Gravitational Search Algorithm. - Scientia Iranica, Vol. 19, 2012, pp. 1754-1762.10.1016/j.scient.2012.02.030Search in Google Scholar

17. Musharavati, F., A. M. S. Hamouda. Simulated Annealing with Auxiliary Knowledge for Process Planning Optimization in Reconfigurable Manufacturing. - Robotics and Computer- Integrated Manufacturing, Vol. 28, 2012, pp. 113-131.10.1016/j.rcim.2011.07.003Search in Google Scholar

18. Zhua, Q., J. Hu, L. Henschen. A New Moving Target Interception Algorithm for Mobile Robots Based on Subgoal Forecasting and an Improved Scout and Algorithm. - Applied Soft Computing, Vol. 13, 2013, pp. 539-549.10.1016/j.asoc.2012.08.013Search in Google Scholar

19. Ioannidis, K., G. C. Sirakoulis, I. Anreadis. Cellular Ants: A Method to Create Collision Free Trajectories fora Cooperative Robot Team. - Robotics and Autonomous System, Vol. 59, 2011, pp. 113-127.10.1016/j.robot.2010.10.004Search in Google Scholar

20. Serafino, D. D., S. Gomez, L. Milano, F. Riccio, G. Toraldo. A Genetic Algorithm fora Global Optimization Problem Arising in the Detection of Gravitational Waves. - Springer Science and Business Media, Vol. 48, 2010, pp. 41-55.10.1007/s10898-010-9525-9Search in Google Scholar

21. Tsai, H. C., Y. Y. Tyan, Y. W. Wu, Y. H. Lin. Gravitational Particle Swarm. - Applid Mathematics and Computation, Vol. 219, 2013, pp. 9106-9117.10.1016/j.amc.2013.03.098Search in Google Scholar

22. Kennedy, J., R. C. Eberhart. Particle Swarm Optimization. - In: Proc. of IEEE International Conference on Neural Networks, Vol. 4, 1995, pp.1942-1948.Search in Google Scholar

23. Haupt, R. L., E. Haupt. Practical Genetic Algorithms. Second Ed. John Wiley & Sons, 2004.10.1002/0471671746Search in Google Scholar

24. Dorigo, M., V. Maniezzo, A. Colorni. The Ant System: Optimization bya Colony of Cooperating Agents. - IEEE Transactions on Systems, Man, and Cybernetics-Part B, Vol. 26, 1996, No 1, pp. 29-41.10.1109/3477.484436Search in Google Scholar

25. Rashedi, E., H. Nezamabadi-Pour, S. Saryazdi. GSA: A Gravitational Search Algorithm. - Information Sciences, Vol. 179, 2009, No 13, pp. 2232-2248.10.1016/j.ins.2009.03.004Search in Google Scholar

26. Shams, M., E. Rashedi, A. Hakimi. Clustered Gravitational Search Algorithm and Its Application in Parameter Optimization ofa Low Noise Amplifier. - Applied Mathematics and Computation, Vol. 258, 2015, pp. 436-453.10.1016/j.amc.2015.02.020Search in Google Scholar

27. Moghadam, M. S., H. Nezamabadi-Pour, M. Farsangi. A Quantom Behaved Gravitational Search Algorithm. - Intelligent Information Management, 2012, pp. 390-395.10.4236/iim.2012.46043Search in Google Scholar

28. Doraghinejad, M., H. Nezamabadi-Pour. Black Hole: A New Operator for Gravitational Search Algorithm. - International Journal of Computational Intelligence Systems, 2014, pp. 1-18.10.1080/18756891.2014.966990Search in Google Scholar

29. Mood, S. E., E. Rasshedi, M. M. Javidi. New Functions for Mass Caculation in Gravitational Search Algorithm. - Journal of Computing and Security, Vol. 2, 2016.Search in Google Scholar

30. Saeidi-Khabisi, F., E. Rashedi. Fuzzy Gravitational Search Algorithm. - In: 2nd International e Conference on Computer and Knowledge Engineering (ICCKE), 2012.10.1109/ICCKE.2012.6395370Search in Google Scholar

31. Sabri, N. M., M. Puteh, M. R. Mahmood. A Review of Gravitational Search Algorithm. - International Journal of Advances in Soft Computing and Its Applications, Vol. 5, 2013, No 3.Search in Google Scholar

32. Rasshedi, E., H. Nezamabadi-Pour, S. Saryazdi. BGSA: Binary Gravitational Search Algorithm. - Natural Computing, Vol. 9, 2010, No 3, pp. 727-745.10.1007/s11047-009-9175-3Search in Google Scholar

33. Zadeh, L. A. Fuzzy Sets. - Information and Cotorol, Vol. 8, 1965, pp. 338-353.10.1016/S0019-9958(65)90241-XSearch in Google Scholar

34. Kim, H. S., S. B. Cho. Application of Interactive Genetic Algorithm to Fashion Design. - Engineering Applications of Artificial Intelligence, Vol. 13, 2000, pp. 635-644.10.1016/S0952-1976(00)00045-2Search in Google Scholar

eISSN:
1314-4081
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Informatik, Informationstechnik