Crossref journal-article
Springer Science and Business Media LLC
Engineering with Computers (297)
Bibliography

Kumar, S., Tejani, G. G., & Mirjalili, S. (2018). Modified symbiotic organisms search for structural optimization. Engineering with Computers, 35(4), 1269–1296.

Authors 3
  1. Sumit Kumar (first)
  2. Ghanshyam G. Tejani (additional)
  3. Seyedali Mirjalili (additional)
References 93 Referenced 85
  1. Baykasoğlu A, Ozsoydan FB (2015) Adaptive firefly algorithm with chaos for mechanical design optimization problems. Appl Soft Comput 36:152–164. https://doi.org/10.1016/j.asoc.2015.06.056 (10.1016/j.asoc.2015.06.056) / Appl Soft Comput by A Baykasoğlu (2015)
  2. Bingul Z (2007) Adaptive genetic algorithms applied to dynamic multiobjective problems. Appl Soft Comput J 7:791–799. https://doi.org/10.1016/j.asoc.2006.03.001 (10.1016/j.asoc.2006.03.001) / Appl Soft Comput J by Z Bingul (2007)
  3. Cheng MY, Prayogo D (2014) Symbiotic Organisms Search: A new metaheuristic optimization algorithm. Comput Struct 139:98–112. https://doi.org/10.1016/j.compstruc.2014.03.007 (10.1016/j.compstruc.2014.03.007) / Comput Struct by MY Cheng (2014)
  4. Cheng MY, Prayogo D, Wu YW (2018) Prediction of permanent deformation in asphalt pavements using a novel symbiotic organisms search – least squares support vector regression. Neural Comput Appl. https://doi.org/10.1007/s00521-018-3426-0 (10.1007/s00521-018-3426-0) / Neural Comput Appl by MY Cheng (2018)
  5. De Jong KA (1975) An Analysis of the Behavior of a Class of Genetic Adaptive Systems. Comput Commun Sci 56:266 / Comput Commun Sci by KA Jong De (1975)
  6. Do DTT, Lee J (2017) A modified symbiotic organisms search (mSOS) algorithm for optimization of pin-jointed structures. Appl Soft Comput J 61:683–699. https://doi.org/10.1016/j.asoc.2017.08.002 (10.1016/j.asoc.2017.08.002) / Appl Soft Comput J by DTT Do (2017)
  7. Dorigo M, Maniezzo V, Colorni A (1996) Ant System: Optimization by a Colony of Cooperating Agents. IEEE Trans Syst Man Cybern Part B 26:1–13. https://doi.org/10.1109/3477.484436 (10.1109/3477.484436) / IEEE Trans Syst Man Cybern Part B by M Dorigo (1996)
  8. Eberhart R, Kennedy J (1995) A new optimizer using particle swarm theory. MHS’95 Proc Sixth Int Symp Micro Mach Hum Sci 39–43. https://doi.org/10.1109/MHS.1995.494215 (10.1109/MHS.1995.494215)
  9. Erol OK, Eksin I (2006) A new optimization method: Big Bang-Big Crunch. Adv Eng Softw 37:106–111. https://doi.org/10.1016/j.advengsoft.2005.04.005 (10.1016/j.advengsoft.2005.04.005) / Adv Eng Softw by OK Erol (2006)
  10. Eskandar H, Sadollah A, Bahreininejad A, Hamdi M (2012) Water cycle algorithm—a novel metaheuristic optimization method for solving constrained engineering optimization problems. Comput Struct 110–111:151–166. https://doi.org/10.1016/j.compstruc.2012.07.010 (10.1016/j.compstruc.2012.07.010) / Comput Struct by H Eskandar (2012)
  11. Ezugwu AES, Adewumi AO, Frîncu ME (2017) Simulated annealing based symbiotic organisms search optimization algorithm for traveling salesman problem. Expert Syst Appl 77:189–210. https://doi.org/10.1016/j.eswa.2017.01.053 (10.1016/j.eswa.2017.01.053) / Expert Syst Appl by AES Ezugwu (2017)
  12. Farshchin M, Camp CV, Maniat M (2016) Multi-class teaching-learning-based optimization for truss design with frequency constraints. Eng Struct 106:355–369. https://doi.org/10.1016/j.engstruct.2015.10.039 (10.1016/j.engstruct.2015.10.039) / Eng Struct by M Farshchin (2016)
  13. Fogel DB (1988) An Evolutionary Approach to the Traveling Salesman Problem. Biol Cybern 60:139–144. https://doi.org/10.1007/BF00202901 (10.1007/BF00202901) / Biol Cybern by DB Fogel (1988)
  14. Glover F (1975) Tabu search and adaptive memory programming—advances, applications and challenges. In: In Interfaces in computer science and operations research. pp 1–75
  15. Goldberg DE, Holland JH (1988) Genetic algorithms and machine learning. Mach Learn 3:95–99. https://doi.org/10.1023/A:1022602019183 (10.1023/A:1022602019183) / Mach Learn by DE Goldberg (1988)
  16. Gomes HM (2011) Truss optimization with dynamic constraints using a particle swarm algorithm. Expert Syst Appl 38:957–968. https://doi.org/10.1016/j.eswa.2010.07.086 (10.1016/j.eswa.2010.07.086) / Expert Syst Appl by HM Gomes (2011)
  17. Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: Artificial bee colony (ABC) algorithm. J Glob Optim 39:459–471. https://doi.org/10.1007/s10898-007-9149-x (10.1007/s10898-007-9149-x) / J Glob Optim by D Karaboga (2007)
  18. Kaveh A, Farhoudi N (2013) A new optimization method: Dolphin echolocation. Adv Eng Softw 59:53–70. https://doi.org/10.1016/j.advengsoft.2013.03.004 (10.1016/j.advengsoft.2013.03.004) / Adv Eng Softw by A Kaveh (2013)
  19. Kaveh A, Ilchi Ghazaan M (2015) Hybridized optimization algorithms for design of trusses with multiple natural frequency constraints. Adv Eng Softw 79:137–147. https://doi.org/10.1016/j.advengsoft.2014.10.001 (10.1016/j.advengsoft.2014.10.001) / Adv Eng Softw by A Kaveh (2015)
  20. Kaveh A, Ilchi Ghazaan M (2017) Vibrating particles system algorithm for truss optimization with multiple natural frequency constraints. Acta Mech 228:307–322. https://doi.org/10.1007/s00707-016-1725-z (10.1007/s00707-016-1725-z) / Acta Mech by A Kaveh (2017)
  21. Kaveh A, Jafari L, Farhoudi N (2015) Truss optimization with natural frequency constraints using a dolphin echolocation algorithm. Asian J Civ Eng 16:29–46 / Asian J Civ Eng by A Kaveh (2015)
  22. Kaveh A, Khayatazad M (2013) Ray optimization for size and shape optimization of truss structures. Comput Struct 117:82–94. https://doi.org/10.1016/j.compstruc.2012.12.010 (10.1016/j.compstruc.2012.12.010) / Comput Struct by A Kaveh (2013)
  23. Kaveh A, Mahdavi VR (2014) Colliding bodies optimization: A novel meta-heuristic method. Comput Struct 139:18–27. https://doi.org/10.1016/j.compstruc.2014.04.005 (10.1016/j.compstruc.2014.04.005) / Comput Struct by A Kaveh (2014)
  24. Kaveh A, Mahdavi VR (2015) Two-dimensional colliding bodies algorithm for optimal design of truss structures. Adv Eng Softw 83:70–79. https://doi.org/10.1016/j.advengsoft.2015.01.007 (10.1016/j.advengsoft.2015.01.007) / Adv Eng Softw by A Kaveh (2015)
  25. Kaveh A, Talatahari S (2010) A novel heuristic optimization method: Charged system search. Acta Mech 213:267–289. https://doi.org/10.1007/s00707-009-0270-4 (10.1007/s00707-009-0270-4) / Acta Mech by A Kaveh (2010)
  26. Kaveh A, Zolghadr A (2011) Shape and size optimization of truss structures with frequency constraints using enhanced charged system search algorithm. Asian J Civ Eng 12:487–509 / Asian J Civ Eng by A Kaveh (2011)
  27. Kaveh A, Zolghadr A (2012) Truss optimization with natural frequency constraints using a hybridized CSS-BBBC algorithm with trap recognition capability. Comput Struct 102–103:14–27. https://doi.org/10.1016/j.compstruc.2012.03.016 (10.1016/j.compstruc.2012.03.016) / Comput Struct by A Kaveh (2012)
  28. Kaveh A, Zolghadr A (2013) Topology optimization of trusses considering static and dynamic constraints using the CSS. Appl Soft Comput J 13:2727–2734. https://doi.org/10.1016/j.asoc.2012.11.014 (10.1016/j.asoc.2012.11.014) / Appl Soft Comput J by A Kaveh (2013)
  29. Kaveh A, Zolghadr A (2014) Democratic PSO for truss layout and size optimization with frequency constraints. Comput Struct 130:10–21. https://doi.org/10.1016/j.compstruc.2013.09.002 (10.1016/j.compstruc.2013.09.002) / Comput Struct by A Kaveh (2014)
  30. Kaveh A, Zolghadr A (2017) Truss shape and size optimization with frequency constraints using Tug of War Optimization. Asian J Civ Eng 18:311–313 / Asian J Civ Eng by A Kaveh (2017)
  31. Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimization by Simulated Annealing. Science 220:671–680. https://doi.org/10.1126/science.220.4598.671 (10.1126/science.220.4598.671) / Science by S Kirkpatrick (1983)
  32. Koza JR (1994) Genetic programming as a means for programming computers by natural selection. Stat Comput 4:87–112. https://doi.org/10.1007/BF00175355 (10.1007/BF00175355) / Stat Comput by JR Koza (1994)
  33. Lee KS, Geem ZW (2004) A new structural optimization method based on the harmony search algorithm. Comput Struct 82:781–798. https://doi.org/10.1016/j.compstruc.2004.01.002 (10.1016/j.compstruc.2004.01.002) / Comput Struct by KS Lee (2004)
  34. Li X, Yin M (2015) Modified cuckoo search algorithm with self adaptive parameter method. Inf Sci (Ny) 298:80–97. https://doi.org/10.1016/j.ins.2014.11.042 (10.1016/j.ins.2014.11.042) / Inf Sci (Ny) by X Li (2015)
  35. Liao TW, Kuo RJ (2018) Five discrete symbiotic organisms search algorithms for simultaneous optimization of feature subset and neighborhood size of KNN classification models. Appl Soft Comput J 64:581–595. https://doi.org/10.1016/j.asoc.2017.12.039 (10.1016/j.asoc.2017.12.039) / Appl Soft Comput J by TW Liao (2018)
  36. Miguel LFF, Fadel Miguel LF (2012) Shape and size optimization of truss structures considering dynamic constraints through modern metaheuristic algorithms. Expert Syst Appl 39:9458–9467. https://doi.org/10.1016/j.eswa.2012.02.113 (10.1016/j.eswa.2012.02.113) / Expert Syst Appl by LFF Miguel (2012)
  37. Mortazavi A, Toğan V (2017) Sizing and layout design of truss structures under dynamic and static constraints with an integrated particle swarm optimization algorithm. Appl Soft Comput J 51:239–252. https://doi.org/10.1016/j.asoc.2016.11.032 (10.1016/j.asoc.2016.11.032) / Appl Soft Comput J by A Mortazavi (2017)
  38. Noilublao N, Bureerat S (2011) Simultaneous topology, shape and sizing optimisation of a three-dimensional slender truss tower using multiobjective evolutionary algorithms. Comput Struct 89:2531–2538. https://doi.org/10.1016/j.compstruc.2011.08.010 (10.1016/j.compstruc.2011.08.010) / Comput Struct by N Noilublao (2011)
  39. Osman IH, Laporte G (1996) Metaheuristics: A bibliography. Ann Oper Res 63:511–623. https://doi.org/10.1007/BF02125421 (10.1007/BF02125421) / Ann Oper Res by IH Osman (1996)
  40. Patel V, Savsani V (2014) Optimization of a plate-fin heat exchanger design through an improved multi-objective teaching-learning based optimization (MO-ITLBO) algorithm. Chem Eng Res Des 92:2371–2382. https://doi.org/10.1016/j.cherd.2014.02.005 (10.1016/j.cherd.2014.02.005) / Chem Eng Res Des by V Patel (2014)
  41. Piotrowski AP (2013) Adaptive memetic differential evolution with global and local neighborhood-based mutation operators. Inf Sci (Ny) 241:164–194. https://doi.org/10.1016/j.ins.2013.03.060 (10.1016/j.ins.2013.03.060) / Inf Sci (Ny) by AP Piotrowski (2013)
  42. Savsani VJ, Tejani GG, Patel VK (2016) Truss topology optimization with static and dynamic constraints using modified subpopulation teaching–learning-based optimization. Eng Optim 48:1990–2006. https://doi.org/10.1080/0305215X.2016.1150468 (10.1080/0305215X.2016.1150468) / Eng Optim by VJ Savsani (2016)
  43. Savsani VJ, Tejani GG, Patel VK, Savsani P (2017) Modified meta-heuristics using random mutation for truss topology optimization with static and dynamic constraints. J Comput Des Eng 4:106–130. https://doi.org/10.1016/j.jcde.2016.10.002 (10.1016/j.jcde.2016.10.002) / J Comput Des Eng by VJ Savsani (2017)
  44. Shan H, Yasuda T, Ohkura K (2015) A self adaptive hybrid enhanced artificial bee colony algorithm for continuous optimization problems. BioSystems 132–133:43–53. https://doi.org/10.1016/j.biosystems.2015.05.002 (10.1016/j.biosystems.2015.05.002) / BioSystems by H Shan (2015)
  45. Tejani GG, Savsani VJ, Bureerat S, Patel VK (2018) Topology and Size Optimization of Trusses with Static and Dynamic Bounds by Modified Symbiotic Organisms Search. J Comput Civ Eng 32:1–11. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000741 (10.1061/(ASCE)CP.1943-5487.0000741) / J Comput Civ Eng by GG Tejani (2018)
  46. Tejani GG, Savsani VJ, Patel VK (2016) Adaptive symbiotic organisms search (SOS) algorithm for structural design optimization. J Comput Des Eng 3:226–249. https://doi.org/10.1016/j.jcde.2016.02.003 (10.1016/j.jcde.2016.02.003) / J Comput Des Eng by GG Tejani (2016)
  47. Tejani GG, Savsani VJ, Patel VK (2016) Modified sub-population teaching-learning-based optimization for design of truss structures with natural frequency constraints. Mech Based Des Struct Mach 44:495–513. https://doi.org/10.1080/15397734.2015.1124023 (10.1080/15397734.2015.1124023) / Mech Based Des Struct Mach by GG Tejani (2016)
  48. Tejani GG, Savsani VJ, Patel VK, Bureerat S (2017) Topology, shape, and size optimization of truss structures using modified teaching-learning based optimization. Adv Comput Des 2:313–331. https://doi.org/10.12989/acd.2017.2.4.313 (10.12989/acd.2017.2.4.313) / Adv Comput Des by GG Tejani (2017)
  49. Tollo G di, Lardeux F, Maturana J, Saubion F (2015) An experimental study of adaptive control for evolutionary algorithms. Appl Soft Comput 35:359–372. https://doi.org/10.1016/j.asoc.2015.06.016 (10.1016/j.asoc.2015.06.016) / Appl Soft Comput by G Tollo di (2015)
  50. Tran DH, Cheng MY, Prayogo D (2016) A novel Multiple Objective Symbiotic Organisms Search (MOSOS) for time-cost-labor utilization tradeoff problem. Knowledge-Based Syst 94:132–145. https://doi.org/10.1016/j.knosys.2015.11.016 (10.1016/j.knosys.2015.11.016) / Knowledge-Based Syst by DH Tran (2016)
  51. Tran DH, Luong-Duc L, Duong MT et al (2018) Opposition multiple objective symbiotic organisms search (OMOSOS) for time, cost, quality and work continuity tradeoff in repetitive projects. J Comput Des Eng 5:160–172. https://doi.org/10.1016/j.jcde.2017.11.008 (10.1016/j.jcde.2017.11.008) / J Comput Des Eng by DH Tran (2018)
  52. Tejani GG, Pholdee N, Bureerat S, Prayogo D (2018) Multiobjective adaptive symbiotic organisms search for truss optimization problems. Knowl-Based Syst. https://doi.org/10.1016/j.knosys.2018.08.005 (10.1016/j.knosys.2018.08.005) / Knowl-Based Syst by GG Tejani (2018)
  53. Wang D, Zhang WH, Jiang JS (2004) Truss optimization on shape and sizing with frequency constraints. AIAA J 42:622–630. https://doi.org/10.2514/1.1711 (10.2514/1.1711) / AIAA J by D Wang (2004)
  54. Wei L, Tang T, Xie X, Shen W (2011) Truss optimization on shape and sizing with frequency constraints based on parallel genetic algorithm. Struct Multidiscip Optim 43:665–682 (10.1007/s00158-010-0600-0) / Struct Multidiscip Optim by L Wei (2011)
  55. Wolpert DH, Macready WG (1997) No free lunch theorems for optimization. IEEE Trans Evol Comput 1:67–82. https://doi.org/10.1109/4235.585893 (10.1109/4235.585893) / IEEE Trans Evol Comput by DH Wolpert (1997)
  56. Yang XS (2009) Firefly Algorithms for Multimodal Optimization. In: In International symposium on stochastic algorithms. pp 169–178 (10.1007/978-3-642-04944-6_14)
  57. Yang XS, Deb S (2009) Cuckoo search via Levy flights. In: 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings. pp 210–214
  58. Yu VF, Redi AANP, Yang CL et al (2017) Symbiotic organisms search and two solution representations for solving the capacitated vehicle routing problem. Appl Soft Comput J 52:657–672. https://doi.org/10.1016/j.asoc.2016.10.006 (10.1016/j.asoc.2016.10.006) / Appl Soft Comput J by VF Yu (2017)
  59. Zuo W, Bai J, Li B (2014) A hybrid OC-GA approach for fast and global truss optimization with frequency constraints. Appl Soft Comput J 14:528–535. https://doi.org/10.1016/j.asoc.2013.09.002 (10.1016/j.asoc.2013.09.002) / Appl Soft Comput J by W Zuo (2014)
  60. Cheng M-Y, Prayogo D, Tran D-H (2016) Optimizing Multiple-Resources Leveling in Multiple Projects Using Discrete Symbiotic Organisms Search. J Comput Civ Eng 30:04015036. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000512 (10.1061/(ASCE)CP.1943-5487.0000512) / J Comput Civ Eng by M-Y Cheng (2016)
  61. Duman S (2017) Symbiotic organisms search algorithm for optimal power flow problem based on valve-point effect and prohibited zones. Neural Comput Appl 28:3571–3585. https://doi.org/10.1007/s00521-016-2265-0 (10.1007/s00521-016-2265-0) / Neural Comput Appl by S Duman (2017)
  62. Prasad D, Mukherjee V (2016) A novel symbiotic organisms search algorithm for optimal power flow of power system with FACTS devices. Eng Sci Technol Int J 19:79–89. https://doi.org/10.1016/j.jestch.2015.06.005 (10.1016/j.jestch.2015.06.005) / Eng Sci Technol Int J by D Prasad (2016)
  63. Abdullahi M, Ngadi MA, Abdulhamid SM (2016) Symbiotic Organism Search optimization based task scheduling in cloud computing environment. Futur Gener Comput Syst 56:640–650. https://doi.org/10.1016/j.future.2015.08.006 (10.1016/j.future.2015.08.006) / Futur Gener Comput Syst by M Abdullahi (2016)
  64. Panda A, Pani S (2016) A Symbiotic Organisms Search algorithm with adaptive penalty function to solve multi-objective constrained optimization problems. Appl Soft Comput J 46:344–360. https://doi.org/10.1016/j.asoc.2016.04.030 (10.1016/j.asoc.2016.04.030) / Appl Soft Comput J by A Panda (2016)
  65. Panda A, Pani S (2017) An orthogonal parallel symbiotic organism search algorithm embodied with augmented Lagrange multiplier for solving constrained optimization problems. Soft Comput doi. https://doi.org/10.1007/s00500-017-2693-5 (10.1007/s00500-017-2693-5) / Soft Comput doi by A Panda (2017)
  66. Prayogo D (2018) Optimization model for construction project resource leveling using a novel modified symbiotic organisms search. Asian J Civ Eng 3456789:. https://doi.org/10.1007/s42107-018-0048-x (10.1007/s42107-018-0048-x)
  67. Subhabrata Banerjee SC (2017) Power Optimization of Three Dimensional Turbo Code Using a Novel Modified Symbiotic Organism Search. Wirel Pers Commun doi. https://doi.org/10.1007/s11277-016-3586-0 (10.1007/s11277-016-3586-0) / Wirel Pers Commun doi by SC Subhabrata Banerjee (2017)
  68. Guha D, Kumar P, Banerjee S (2018) Symbiotic organism search algorithm applied to load frequency control of multi-area power system. Energy Syst. https://doi.org/10.1007/s12667-017-0232-1 (10.1007/s12667-017-0232-1) / Energy Syst by D Guha (2018)
  69. Dosoglu MK, Guvenc U, Duman S, Sonmez Y (2018) Symbiotic organisms search optimization algorithm for economic / emission dispatch problem in power systems. Neural Comput Appl. https://doi.org/10.1007/s00521-016-2481-7 (10.1007/s00521-016-2481-7) / Neural Comput Appl by MK Dosoglu (2018)
  70. Saha S, Mukherjee V (2016) Optimal placement and sizing of DGs in RDS using chaos embedded SOS algorithm. 3671–3680. https://doi.org/10.1049/iet-gtd.2016.0151 (10.1049/iet-gtd.2016.0151)
  71. Zhou Y, Wu H, Luo Q, Abdel-baset M (2018) Automatic data clustering using nature-inspired symbiotic organism search algorithm. Knowledge-Based Syst. https://doi.org/10.1016/j.knosys.2018.09.013 (10.1016/j.knosys.2018.09.013) / Knowledge-Based Syst by Y Zhou (2018)
  72. Prayogo D, Cheng MY, Prayogo H (2017) A Novel implementation of nature-inspired optimization for civil engineering: a comparative study of symbiotic organisms search. 19:36–43. https://doi.org/10.9744/CED.19.1.36-43 (10.9744/CED.19.1.36-43)
  73. Jaffel Z, Farah M (2018, March) A symbiotic organisms search algorithm for feature selection in satellite image classification. In: Advanced Technologies for Signal and Image Processing (ATSIP), 2018 4th International Conference on(pp. 1–5). IEEE (10.1109/ATSIP.2018.8364494)
  74. Sulaiman M, Ahmad A, Khan A, Muhammad S (2018) Hybridized symbiotic organism search algorithm for the optimal operation of directional overcurrent relays. Hindawi Complex 2018:11. https://doi.org/10.1155/2018/4605769 (10.1155/2018/4605769) / Hindawi Complex by M Sulaiman (2018)
  75. Tejani GG, Savsani VJ, Patel VK, Mirjalili S (2018) Knowledge-Based Systems Truss optimization with natural frequency bounds using improved symbiotic organisms search. Knowledge-Based Syst 5:1–17. https://doi.org/10.1016/j.knosys.2017.12.012 (10.1016/j.knosys.2017.12.012) / Knowledge-Based Syst by GG Tejani (2018)
  76. Zheng Y (2015) Computers & Operations Research Water wave optimization: A new nature-inspired metaheuristic. Comput Oper Res 55:1–11. https://doi.org/10.1016/j.cor.2014.10.008 (10.1016/j.cor.2014.10.008) / Comput Oper Res by Y Zheng (2015)
  77. Črepinšek M, Liu S-H, Mernik M (2013) Exploration and Exploitation in Evolutionary Algorithms: A Survey. ACM Comput 45:1–33. https://doi.org/10.1145/2480741.2480752 (10.1145/2480741.2480752) / ACM Comput by M Črepinšek (2013)
  78. Geem Z, Kim J, Loganathan GV (2001) A New Heuristic Optimization Algorithm: Harmony Search. Simulation 76:60–68. https://doi.org/10.1177/003754970107600201 (10.1177/003754970107600201) / Simulation by Z Geem (2001)
  79. Al-sharhan S (2016) An enhanced symbiosis organisms search algorithm: an empirical study. Neural Comput Appl doi. https://doi.org/10.1007/s00521-016-2624-x (10.1007/s00521-016-2624-x) / Neural Comput Appl doi by S Al-sharhan (2016)
  80. Liang JJ, Qu BY, Suganthan PN (2014) Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization
  81. Grandhi R (1993) Structural Optimization with Frequency Constraints — A Review. AIAA J 31:2296–2303. https://doi.org/10.2514/3.11928 (10.2514/3.11928) / AIAA J by R Grandhi (1993)
  82. Kaveh A, Ilchi M, Taha G (2013) An improved ray optimization algorithm for design of truss structures. Period Polytech 2:97–112. https://doi.org/10.3311/PPci.7166 (10.3311/PPci.7166) / Period Polytech by A Kaveh (2013)
  83. Kaveh A, Ghazaan MI (2014) Enhanced colliding bodies algorithm for truss optimization with frequency constraints. J Comput Civ Eng 29:1–11. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000445 (10.1061/(ASCE)CP.1943-5487.0000445) / J Comput Civ Eng by A Kaveh (2014)
  84. Miao F, Zhou Y, Luo Q (2018) A modified symbiotic organisms search algorithm for unmanned combat aerial vehicle route planning problem. J Oper Res Soc 5682:1–32. https://doi.org/10.1080/01605682.2017.1418151 (10.1080/01605682.2017.1418151) / J Oper Res Soc by F Miao (2018)
  85. Bureerat S, Ph D, Pholdee N, Ph D (2015) Optimal Truss Sizing Using an Adaptive Differential Evolution Algorithm. J Comput Civ Eng. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000487 (10.1061/(ASCE)CP.1943-5487.0000487) / J Comput Civ Eng by S Bureerat (2015)
  86. Ou-yang C, Hanyata TB, Samadhi TMAA (2015) Hybrid self-adaptive-velocity particle swarm optimisation-Cooper heuristic for the facility location allocation problem in Jakarta. https://doi.org/10.1080/23302674.2015.1029565 (10.1080/23302674.2015.1029565)
  87. Pham HA (2016) Advances in Engineering Software Truss optimization with frequency constraints using enhanced differential evolution based on adaptive directional mutation and nearest neighbor comparison. Adv Eng Softw 102:142–154. https://doi.org/10.1016/j.advengsoft.2016.10.004 (10.1016/j.advengsoft.2016.10.004) / Adv Eng Softw by HA Pham (2016)
  88. Lieu QX, Do DTT, Lee J (2018) An adaptive hybrid evolutionary firefly algorithm for shape and size optimization of truss structures with frequency constraints. Comput Struct 195:99–112. https://doi.org/10.1016/j.compstruc.2017.06.016 (10.1016/j.compstruc.2017.06.016) / Comput Struct by QX Lieu (2018)
  89. Ho-Huu V, Nguyen-Thoi T, Truong-Khac T, Le-Anh L, Vo-Duy T (2016) An improved differential evolution based on roulette wheel selection for shape and size optimization of truss structures with frequency constraints. Neural Comput Appl 29:167–185. https://doi.org/10.1007/s00521-016-2426-1 (10.1007/s00521-016-2426-1) / Neural Comput Appl by V Ho-Huu (2016)
  90. Kaveh A, Javadi SM (2013) Shape and size optimization of trusses with multiple frequency constraints using harmony search and ray optimizer for enhancing the particle swarm optimization algorithm. 1605:1595–1605. https://doi.org/10.1007/s00707-013-1006-z (10.1007/s00707-013-1006-z)
  91. Kaveh A, Zolghadr A (2017) Cyclical parthenogenesis algorithm for layout optimization of truss structures with frequency constraints. Eng Optim 0:1–18. https://doi.org/10.1080/0305215X.2016.1245730 (10.1080/0305215X.2016.1245730) / Eng Optim by A Kaveh (2017)
  92. Kaveh A, Zolghadr A (2014) A new PSRO algorithm for frequency constraint truss shape and size optimization. Struct Eng Mech 52:445–468. https://doi.org/10.12989/sem.2014.52.3.445 (10.12989/sem.2014.52.3.445) / Struct Eng Mech by A Kaveh (2014)
  93. Jalili S, Talatahari S (2017) Optimum Design of Truss Structures Under Frequency Constraints using Hybrid CSS-MBLS Algorithm. 00:1–14. https://doi.org/10.1007/s12205-017-1407-y (10.1007/s12205-017-1407-y)
Dates
Type When
Created 6 years, 9 months ago (Nov. 26, 2018, 10:21 p.m.)
Deposited 5 years, 9 months ago (Nov. 26, 2019, 2:24 p.m.)
Indexed 1 week, 3 days ago (Aug. 22, 2025, 12:59 a.m.)
Issued 6 years, 9 months ago (Nov. 27, 2018)
Published 6 years, 9 months ago (Nov. 27, 2018)
Published Online 6 years, 9 months ago (Nov. 27, 2018)
Published Print 5 years, 11 months ago (Oct. 1, 2019)
Funders 0

None

@article{Kumar_2018, title={Modified symbiotic organisms search for structural optimization}, volume={35}, ISSN={1435-5663}, url={http://dx.doi.org/10.1007/s00366-018-0662-y}, DOI={10.1007/s00366-018-0662-y}, number={4}, journal={Engineering with Computers}, publisher={Springer Science and Business Media LLC}, author={Kumar, Sumit and Tejani, Ghanshyam G. and Mirjalili, Seyedali}, year={2018}, month=nov, pages={1269–1296} }