Enhancing particle swarm optimization algorithm using two new strategies for optimizing design of truss structures

References

• Andrews , P. S. An investigation into mutation operators for particle swarm optimization . 2006 IEEE congress on evolutionary computation (CEC2006) . July 16–21 2006 , Vancouver , Canada. pp. 1044 – 1051 . Piscataway , NJ : IEEE Press .
   Google Scholar
• Binkley , K. J. and Hagiwara , M. 2008 . Balancing exploitation and exploration in particle swarm optimization: velocity-based reinitialization . Information and Media Technologies , 3 : 103 – 111 .
   Google Scholar
• Charles , V. C. and Barron , J. B. 2004 . Design of space trusses using ant colony optimization . Journal of Structural Engineering – ASCE , 130 : 741 – 751 . (doi:10.1061/(ASCE)0733-9445(2004)130:5(741))
   Web of Science ®Google Scholar
• Clerc , M. The swarm the queen: towards a deterministic and adaptive particle swarm optimization . 1999 IEEE congress on evolutionary computation . July 6–9 , Washington, DC . pp. 1951 – 1957 . New York : IEEE Press .
   Google Scholar
• Eberhart , R. and Shi , Y. Comparing inertia weights and constriction factors in particle swarm optimization . 2000 IEEE Congress on Evolutionary Computation . July 16–19 , La Jolla , CA . pp. 84 – 88 . Washington, D.C : IEEE Computer Society Press .
   Google Scholar
• Engelbrecht , A. P. 2005 . Fundamentals of computational swarm intelligence , 1 , New Jersey : Wiley .
   Google Scholar
• Fan , S.-K. S. and Chiu , Y. Y. 2007 . A decreasing inertia weight particle swarm optimizer . Engineering Optimization , 39 : 203 – 228 . (doi:10.1080/03052150601047362)
   Web of Science ®Google Scholar
• Fan , S.-K. S. and Chang , J. M. 2009 . A parallel particle swarm optimization algorithm for multi-objective optimization problems . Engineering Optimization , 41 : 673 – 697 . (doi:10.1080/03052150902752058)
   Web of Science ®Google Scholar
• Fan , S.-K. S. and Chang , J. M. 2010 . Dynamic multi-swarm particle swarm optimizer using parallel PC cluster systems for global optimization of large-scale multimodal functions . Engineering Optimization , 42 : 431 – 451 . (doi:10.1080/03052150903247736)
   Web of Science ®Google Scholar
• Fourie , P. C. and Groenwold , A. A. 2002 . The particle swarm optimization algorithm in size and shape optimization . Structural and Multidisciplinary Optimization, , 23 : 259 – 267 . (doi:10.1007/s00158-002-0188-0)
   Web of Science ®Google Scholar
• Goldberg , D. E. 1989 . Genetic algorithms in search, optimization and machine learning , 1 , Boston , MA : Addison-Wesley .
   Google Scholar
• He , S. 2004a . An improved particle swarm optimizer for mechanical design optimization problems . Engineering Optimization , 36 : 585 – 605 .
   Web of Science ®Google Scholar
• He , S. 2004b . A particle swarm optimizer with passive congregation. Biosystems . 78 : 135 – 147 .
   Google Scholar
• Heppner , F. and Grenander , U. 1990 . “ A stochastic nonlinear model for coordinated bird flocks ” . In The ubiquity of chaos , Edited by: Krasner , S. 233 – 238 . Washington, DC : AAAS Publications .
   Google Scholar
• Kaveh , A. and Shojaee , S. 2007 . Optimal design of skeletal structures using ant colony optimization . International Journal for Numerical Methods in Engineering , 70 : 563 – 581 . (doi:10.1002/nme.1898)
   Web of Science ®Google Scholar
• Kaveh , A. and Talatahari , S. 2008 . A hybrid particle swarm and ant colony optimization for design of truss structures . Asian Journal of Civil Engineering (Building and Housing) , 9 : 329 – 348 .
   Google Scholar
• Kaveh , A. and Talatahari , S. 2009a . Particle swarm optimizer, ant colony strategy and harmony search scheme hybridized for optimization of truss structures . Computer & Structure , 87 : 267 – 283 . (doi:10.1016/j.compstruc.2009.01.003)
   Web of Science ®Google Scholar
• Kaveh , A. and Talatahari , S. 2009b . A particle swarm ant colony optimization for truss structures with discrete variables . Journal of Constructional Steel Research , 65 : 1558 – 1568 . (doi:10.1016/j.jcsr.2009.04.021)
   Web of Science ®Google Scholar
• Kelesoglu , O. and Ulker , M. 2005 . Fuzzy optimization of geometrical nonlinear space truss design . Turkish Journal of Engineering & Environmental Sciences , 29 : 321 – 329 .
   Google Scholar
• Kennedy , J. and Eberhart , R. 1995. Particle swarm optimization . Proceedings of IEEE international conference on neural networks . November–December 27–1 , Perth, 4 . pp. 1942 – 1948 . Piscataway, NJ : IEEE Press .
   Google Scholar
• Kennedy , J. 2001 . Swarm intelligence , San Francisco : Morgan Kaufmann .
   Google Scholar
• Li , L. J. 2007 . A heuristic particle swarm optimizer for optimization of pin connected structures . Computer & Structure , 85 : 340 – 349 . (doi:10.1016/j.compstruc.2006.11.020)
   Web of Science ®Google Scholar
• Li , L. J. An improved particle swarm optimization method and its application in civil engineering . Proceedings of the 5th international conference on engineering computational technology . September 12–15 . Las Palmas de Gran Canaria. Stirlingshire : Civil-Comp Press . Paper 42.
   Google Scholar
• Liu , F. An improved particle swarm optimization method and its application in steel structures . International symposium on new Olympic, new shell and spatial structures . October 16–19 , Beijing , China. pp. 282 – 283 . Beijing University of Technology Press .
   Google Scholar
• Ling , S. H. 2008 . Hybrid particle swarm optimization with wavelet mutation and its industrial applications . IEEE Transactions on Systems, Man, and Cybernetics – Part B: Cybernetics , 38 : 743 – 763 .
   PubMed Web of Science ®Google Scholar
• Montazeri-Gh , M. 2012 . Application of particle swarm optimization in gas turbine engine fuel controller gain tuning . Engineering Optimization , 44 : 225 – 240 . (doi:10.1080/0305215X.2011.576760)
   Web of Science ®Google Scholar
• Perez , R. E. and Behdinan , K. 2007 . Particle swarm approach for structural design optimization . Computer & Structure , 85 : 1579 – 1588 . (doi:10.1016/j.compstruc.2006.10.013)
   Web of Science ®Google Scholar
• Rao , S. S. 2009 . Engineering optimization: theory and practice , 4 , New Jersey : Wiley .
   Google Scholar
• Reynolds , C. W. 1987 . Flocks, herds, and schools: a distributed behavioral model . Computer Graphics , 21 ( 4 ) : 25 – 34 . (doi:10.1145/37402.37406)
   Google Scholar
• Schutte , J. F. and Groenwold , A. A. 2003 . Sizing design of truss structures using particle swarms . Structural and Multidisciplinary Optimization , 25 : 261 – 269 . (doi:10.1007/s00158-003-0316-5)
   Web of Science ®Google Scholar
• Shelokar , P. S. 2007 . Particle swarm and ant colony algorithms hybridized for improved continuous optimization . Applied Mathematics and Computation , 188 : 129 – 142 .
   Web of Science ®Google Scholar
• Shi , Y. and Eberhart , R. A modified particle swarm optimizer . 1998 IEEE International Conference on Evolutionary Computation proceedings . May 4–9 , Anchorage , Alaska . pp. 69 – 73 . Piscataway, NJ : IEEE Press .
   Google Scholar
• Singh , H. K. Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems . 2009 IEEE congress on evolutionary computation . May 18–21 , Trondheim , Norway. Piscataway, NJ : IEEE Press .
   Google Scholar
• Stacey , A. Particle swarm optimization with mutation . 2003 IEEE congress on evolutionary computation . December 8–12 , Canberra , Australia. pp. 1425 – 1430 . Los Alamitos : IEEE Press .
   Google Scholar
• Wang , Y. X. 2010 . Particle swarm optimizer with adaptive tabu and mutation: a unified framework for efficient mutation operators . ACM Transactions on Autonomous and Adaptive Systems , 5 ( 1 ) Article 1. (doi:10.1145/1671948.1671949)
   Web of Science ®Google Scholar
• Wu , S. J. and Chow , P. T. 1995 . Steady-state genetic algorithms for discrete optimization of trusses . Computer & Structure , 56 : 979 – 991 . (doi:10.1016/0045-7949(94)00551-D)
   Web of Science ®Google Scholar