Biogeography-based particle swarm optimization with fuzzy elitism and its applications to constrained engineering problems

Engineering Optimization

Volumn 46, Issue 11, 2014, Pages 1465-1484

  Guo, Weian ^a,b   Li, Wuzhao ^a,d   Zhang, Qun ^c   Wang, Lei ^a   Wu, Qidi ^a   Ren, Hongliang ^b  

^a TONGJI UNIVERSITY   (China)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^d Jiaxing Vocational Technical College   (China)

Author keywords

biogeography based optimization; elites; evolutionary algorithm; fuzzy strategy; particle swarm optimization

Indexed keywords

ECOLOGY; EVOLUTIONARY ALGORITHMS; HEURISTIC ALGORITHMS;

BIOGEOGRAPHY-BASED OPTIMIZATIONS; BIOGEOGRAPHYBASED OPTIMIZATIONS (BBO); ELITES; ENGINEERING PROBLEMS; EVOLUTIONARY PROCESS; FUZZY STRATEGIES; PRE-MATURE CONVERGENCES; TIME COMPLEXITY ANALYSIS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84905364371     PISSN: 0305215X     EISSN: 10290273     Source Type: Journal    
DOI: 10.1080/0305215X.2013.854349     Document Type: Article

References (60)

1. Ahila, R., V. Sadasivam, and K. Manimala. 2012. "Particle Swarm Optimization-Based Feature Selection and Parameter Optimization for Power System Disturbances Classification." Applied Artificial Intelligence 26: 832-861.
2. Apalaka, M. K., D. Karabogab, and B. Akayb. 2013. "The Artificial Bee Colony Algorithm in Layer Optimization for the Maximum Fundamental Frequency of Symmetrical Laminated Composite Plates." Engineering Optimization, DOI: 10.1080/0305215X.2013.776551
3. Babu, B. V., and R. Angira. 2003. "Optimization of Water Pumping System Using Differential Evolution Strategy." Proceedings of the Second International Conference on Computational Intelligence, Robotics, and Autonomous Systems, Singapore, December 15.
4. Back, T. 1996. Evolutionary Algorithms in Theory and Practice. Oxford: Oxford University Press.
5. Beyer, H. 2001. The Theory of Evolution Strategies. NewYork: Springer.
6. Cai, X., S. Fan, andY. Tan. 2012. "Light Responsive Curve Selection for Photosynthesis Operator ofAPOA." International Journal of Bio-inspired Computation 4: 373-379.
7. Cai, Z., andY.Wang. 2006. "AMultiobjective Optimization-Based EvolutionaryAlgorithm for Constrained Optimization." IEEE Transactions on Evolutionary Computation 10: 658-675.
8. Cao, Y., and Q.Wu. 1997. "Mechanical Design Optimization by MixedVariables Evolutionary Programming." Proceedings of the 1997 IEEE Conference on Evolutionary Computation.
9. Chang, P., W. Huang, and C. Ting. 2010. "Dynamic Diversity Control in Genetic Algorithm for Mining Unsearched Solution Space in TSP Problems." Expert Systems with Application 37: 1863-1878.
10. Coello, C. A. C. 1999. "Use of a Self-Adaptive Penalty Approach for Engineering Optimization Problems." Computers in Industry 41: 113-127.
11. Coello, C. A. C. 2002. "Theoretical and Numerical Constraint Handling Techniques Used with Evolutionary Algorithms: A Survey of the State of the Art." Computer Methods in Applied Mechanics and Engineering 191: 1245-1287.
12. Cui, Z., F. Gao, Z. Cui, and J. Qu. 2012a. "A Second Nearest-Neighbor Embedded Atom Method Interatomic Potential for Li-Si Alloys." Journal of Power Sources 207: 150-159.
13. Cui, Z., F. Gao, Z. Cui, and J. Qu. 2012b. "Developing a Second Nearest-Neighbor Modified Embedded Atom Method Interatomic Potential for Lithium." Modelling and Simulation in Materials Science and Engineering 20: 1-12.
14. David, F. B. 1998. Evolutionary Computation: The Fossil Record. NewYork: IEEE Press.
15. David, F.W.Y., S. P. Koh, S. K. Tiong, and S. K. Prajindra. 2012. "A Hybrid Artificial Immune Systems for Multi Modal Function Optimization and its Application in Engineering Problem." Artificial Intelligence Review 38: 291-301.
16. Dorigo, M., and T. Stützle. 2004. Ant Colony Optimization. Cambridge, MA: MIT Press.
17. Fu, J., R. G. Fenton, and W. L. Cleghorn. 1991. "A Mixed Integer Discrete Continuous Programming Method and Its Application to Engineering Design Optimization." Engineering Optimization 17: 263-280.
18. Gazi, V., and K. M. Passino. 2011. Swarm Stability and Optimization. NewYork: Springer.
19. Guo, W., L. Wang, and Q. Wu. 2014. "An Analysis of the Migration Rates of Biogeography-Based Optimization." Information Sciences 254: 111-140.
20. Guo, W., D.Yang, J. Hu, C. Huang, L.Wang, and Q.Wu. 2012. "Optimal Management of a Home Smart Grid Scheduling." Journal of Computational Information Systems 8: 1921-1928.
21. Holland, J. H. 1975. Adaptation in Natural and Artificial Systems. Ann Arbor, MI: University of Michigan Press.
22. Jaberipour, M., and E. Khorram. 2010. "Two Improved Harmony SearchAlgorithms for Solving Engineering Optimization Problems." Communication in Nonlinear Science and Numerical Simulation 15: 3316-3331.
23. Jeyalilaseetha, T. S., and R. Sukanesh. 2012. "Investigations on the Synthesis of Uniform Linear Antenna Array Using Biogeography-Based Optimisation Techniques." International Journal of Bio-Inspired Computation 4: 119-130.
24. Kannan, B. K., and S. N. Kramer. 1994. "An Augmented Lagrange Multiplier Based Method for Mixed Integer Discrete Continuous Optimization and its Applications to Mechanical Design." Journal of Mechanical Design 116: 405-411.
25. Kanthaswamy, G., and J. Jovitha. 2011. "Control of Dead Time System Using Hybrid Ant Colony Ant Optimization." Applied Artificial Intelligence 25: 609-634.
26. Kennedy, J., and R. Eberhart. 1995. "Particle Swarm Optimization." Proceedings of IEEE International Conference on Neural Networks.
27. Kennedy, J., R. C. Eberhart, andY. Shi. 2001. Swarm Intelligence. San Francisco, CA: Morgan Kaufmann.
28. Khokhar, B., K. Parmar, and S. Dahiya. 2012. "Application of Biogeography-Based Optimization for Economic Dispatch Problems." International Journal of Computer Applications 47: 25-30.
29. Leibman, J., L. Lasdon, L. Schrage, and A.Waren. 1986. Modeling and Optimization with GINO. Palo Alto, CA: Scientific Press.
30. Lin, S., C. Zhang, and H. Wang. 1995. "On Mixed Discrete Nonlinear Optimization Problems: A Comparative Study." Engineering Optimization 23: 287-300.
31. Liu, D. S., K. C. Tan, S.Y. Huang, C. X. Goh, andW. K. Ho. 2008. "On Solving Multi Objective Bin Packing Problems Using Evolutionary Particle Swarm Optimization." European Journal of Operational Research 190: 357-382.
32. Loh, H., and P.Y. Papalambros. 1991. "ASequential LinearizationApproach for Solving Mixed-Discrete Nonlinear Design Optimization Problems." Journal of Mechanical Design 113: 325-334.
33. Lohokare, M. R., S. Devi, S. S. Pattnaik, B. K. Panigrahi, and J. G. Joshi. 2011. "Modified Biogeography-Based Optimisation (MBBO)." International Journal of Bio-Inspired Computation 3: 252-266.
34. Ma, H. 2010. "An Analysis of the Equilibrium of Migration Models for Biogeography-Based Optimization." Information Sciences 176: 3444-3464.
35. Ma, H., and D. Simon. 2011. "Analysis of Migration Models of Biogeography-Based Optimization Using Markov Theory." Engineering Applications of Artificial Intelligence 24: 1052-1060.
36. MacArthur, R., and E.Wilson. 1967. The Theory of Biogeography. Princeton, NJ: Princeton University Press.
37. Mahdavi, M., M. Fesanghary, and E. Damangir. 2007. "An Improved Harmony SearchAlgorithm for Solving Optimization Problems." Applied Mathematics and Computation 188: 1567-1579.
38. Mezura-Montes, E., and C. A. C. Coello. 2005. "A Simple Multi-Membered Evolution Strategy to Solve Constrained Optimization Problems." IEEE Transactions on Evolutionary Computation 9: 1-17.
39. Michalewicz, Z., D. Dasgupta, R. G. Leriche, and M. Schoenauer. 1996. "Evolutionary Algorithms for Constrained Engineering Problems." Computers and Industrial Engineering Journal 30: 851-870.
40. Michalewicz, Z., and M. Schoenauer. 1996. "EvolutionaryAlgorithms for Constrained Parameter Optimization Problems." Evolutionary Computation 4: 1-32.
41. Niknam, T., M. Zare, J. Aghaei, and E. A. Farsani. 2011. "A New Hybrid Evolutionary Optimization Distribution Feeder Reconfiguration." Applied Artificial Intelligence 25: 951-971.
42. Parmee, I. 2001. Evolutionary and Adaptive Computing in Engineering Design. NewYork: Springer.
43. Pedersen, M. E. H., and A. J. Chipperfield. 2010. "Simplifying Particle Swarm Optimization." Applied Soft Computing 10: 618-628.
44. Poli, R. 2008. "Analysis of the Publications on the Applications of Particle Swarm Optimisation." Journal of Artificial Evolution and Applications 2008: 1-10.
45. Price, K., and R. Storn. 1997. "Differential Evolution." Dr. Dobb's Journal 22: 18-20.
46. Ren, H., M. Meng, and X. Chen. 2006. "Cross-Layer Optimization Schemes for Wireless Biosensor Networks." Proceedings of the SixthWorld Congress on Intelligent Control and Automation (WCICA 2006), Dalian, China.
47. Ren, H., D. Rank, M. Merdes, J. Stallkamp, and P. Kazanzides. 2012. "Multi-Sensor Data Fusion in an Integrated Tracking System for Endoscopic Surgery." IEEE Transactions on Information Technology in Biomedicine 16: 106-111.
48. Robinson, J., and Y. Rahmat-Samii. 2004. "Particle Swarm Optimization in Electromagnetics." IEEE Transactions on Antennas and Propagation 52: 397-407.
49. Sadegheih, A., and P. R. Drake. 2011. "A New Experimental Study of Genetic Algorithm and Simulated Annealing with Bounded Variables." Applied Artificial Intelligence 25: 927-950.
50. Sandgren, E. 1990. "Nonlinear Integer and Discrete Programming in Mechanical Design Optimization." Journal of Mechanical Design 112: 223-229.
51. Sarvari, H., and K. Zamanifar. 2012. "Improvement of Harmony SearchAlgorithm by Using Statistical Analysis." Artificial Intelligence Review 37: 181-215.
52. Shahryar, R., and D. Paul. 2008. "Efficiency Competition on N-Queen Problem: DE vs. CMA-ES." Proceedings of Canadian Conference on Electrical and Computer Engineering, Niagara Falls, Canada, May 4-7.
53. Siddique, N., B. Amavasai, and A. Ikuta. 2007. "Editorial: Hybrid Techniques in AI." Artificial Intelligence Review 27: 77-78.
54. Simon, D. 2008. "Biogeography-Based Optimization." IEEE Transactions on Evolutionary Computation 12: 702-713.
55. Simon, D. 2011. "A Probabilistic Analysis of a Simplified Biogeography-Based Optimization Algorithm." Evolutionary Computation 19: 167-188.
56. Simon, D., M. Ergezer, D. Du, and R. Rarick. 2011. "Markov Models for Biogeography Based Optimization." IEEE Transactions on Systems, Man, and Cybernetics - Part B 41: 299-306.
57. Van den Bergh, F., and A. P. Engelbrecht. 2004. "A Cooperative Approach to Particle Swarm Optimization." IEEE Transactions on Evolutionary Computation 8: 225-239.
58. Wu, S., and P. Chow. 1995. "Genetic Algorithms for Nonlinear Mixed Discrete Integer Optimization Problems via Meta-Genetic Parameter Optimization." Engineering Optimization 24: 137-159.
59. Xie, L., J. Zeng, and R. A. Formato. 2012. "Selection Strategies for Gravitational Constant G in Artificial Physics Optimisation Based on Analysis of Convergence Properties." International Journal of Bio-inspired Computation 4: 380-391.
60. Yao, X., Y. Liu, and G. Lin. 1999. "Evolutionary Programming made Faster." IEEE Transactions on Evolutionary Computation 3: 82-102.