Topic :

 

Neural Networks Robust Optimization Application Multi-objective Optimization Single-objective Optimization
 

Selected journal publications:

S. Mirjalili, P. Jangir, and S. Saremi, Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems." Applied Intelligence, (2016): 1-17, DOI: http://dx.doi.org/10.1007/s10489-016-0825-8
S. Mirjalili, A. Lewis, The Whale Optimization Algorithm, Advances in Engineering Software , in press, 2016, DOI: http://dx.doi.org/10.1016/j.advengsoft.2016.01.008
S. Mirjalili, SCA: A Sine Cosine Algorithm for Solving Optimization Problems, Knowledge-based Systems, in press, 2015, DOI: http://dx.doi.org/10.1016/j.knosys.2015.12.022http://dx.doi.org/10.1016/j.knosys.2015.12.022
S. Mirjalili, Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm, Knowledge-based Systems, Volume 89, Pages 229-249, DOI: http://dx.doi.org/10.1016/j.knosys.2015.07.006http://dx.doi.org/10.1016/j.knosys.2015.07.006
S. Mirjalili, A. Lewis, Obstacles and difficulties for robust benchmark problems: A novel penalty-based robust optimisation method, Information Sciences, Volume 328, Pages 485-509, http://dx.doi.org/10.1016/j.ins.2015.08.041http://dx.doi.org/10.1016/j.ins.2015.08.041
S. Mirjalili, S. Saremi, S. M. Mirjalili, L. Coelho, Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization, Expert Systems with Applications, in press, DOI: http://dx.doi.org/10.1016/j.eswa.2015.10.039http://dx.doi.org/10.1016/j.eswa.2015.10.039
S. Mirjalili, A. Lewis, S. A. M. Mirjalili, Multi-objective Optimisation of Marine Propellers, Procedia Computer Science, Vol. 52, pp. 2247-2256, DOI: http://dx.doi.org/10.1016/j.procs.2015.05.504http://dx.doi.org/10.1016/j.procs.2015.05.504
S. Mirjalili,  A. Lewis, Hindrances for Robust Multi-objective Test Problems, Applied Soft Computing, Volume 35, Pages 333-348, 2015, DOI:  http://dx.doi.org/10.1016/j.asoc.2015.05.037 https://images.springer.com/sgw/journals/medium/00521.jpg
S. Mirjalili, A. Lewis, S. Mostaghim, Confidence measure: A novel metric for robust meta-heuristic optimisation algorithms, Information Sciences, Volume 317, Pages 114-142, http://dx.doi.org/10.1016/j.ins.2015.04.010 http://dx.doi.org/10.1016/j.ins.2015.04.010
S. Mirjalili, The Ant Lion Optimizer, Advances in Engineering Software, Volume 83, May 2015, Pages 80-98, DOI: http://dx.doi.org/10.1016/j.advengsoft.2015.01.010
S. Mirjalili, "Dragonfly Algorithm: A New Meta-heuristic Optimization Technique for Solving Single-objective, Discrete, and Multi-objective Problems", Neural Computing and Applications, in press, 2015, DOI: http://dx.doi.org/10.1007/s00521-015-1920-1 https://images.springer.com/sgw/journals/medium/00521.jpg
B. Javidy, Ab. Hatamlou, S. Mirjalili, Ions motion algorithm for solving optimization problems, Applied Soft Computing, Volume 32, July 2015, Pages 72-79, ISSN 1568-4946, DOI: http://dx.doi.org/10.1016/j.asoc.2015.03.035 https://images.springer.com/sgw/journals/medium/00521.jpg
S. Mirjalili, How effective is the Grey Wolf optimizer in training multi-layer perceptrons, Appliled Intelligence, Volume 43, Pages 150-161, 2015, DOI: http://dx.doi.org/10.1007/s10489-014-0645-7
S. Mirjalili, S. M. Mirjalili, A. Hatamlou, " Multi-Verse Optimizer: a nature-inspired algorithm for global optimization " , Neural Computing and Applications, in press, 2015, DOI: http://dx.doi.org/10.1007/s00521-015-1870-7https://images.springer.com/sgw/journals/medium/00521.jpg
S. Mirjalili, A. Lewis, Novel Frameworks for Creating Robust Multi-objective Benchmark Problems, Information Sciences,  vol.300, pp. 158-192, 2014, DOI: http://dx.doi.org/10.1016/j.ins.2014.12.037
S. Mirjalili, S. M. Mirjalili, A. Lewis, Let A Biogeography-Based Optimizer Train Your Multi-Layer Perceptron, Information Sciences, vol. 269, pp. 188-209, 2014, DOI: http://dx.doi.org/10.1016/j.ins.2014.01.038
S. Mirjalili, A. Lewis, Novel performance metrics for robust multi-objective optimization algorithms, Swarm and Evolutionary Computation, vol. 21, pp. 1-23 , DOI: http://dx.doi.org/10.1016/j.swevo.2014.10.005
S. Mirjalili, Shifted robust multi-objective test problems, Structural and multidisciplinary optimization, Volume 52, Pages 217-226, DOI: http://dx.doi.org/10.1007/s00158-014-1221-9
S. Mirjalili, G. G. Wand, L. Coelho, Binary optimization using hybrid particle swarm optimization and gravitational search algorithm, Neural Computing and Applications, vol. 25, issue 6, pp. 1423-1435, 2014, Springer DOI: http://dx.doi.org/10.1007/s00521-014-1629-6 
S. Mirjalili, S. M. Mirjalili, A. Lewis, Grey Wolf Optimizer, accepted in Advances in Engineering Software , vol. 69, pp. 46-61, 2014, DOI: http://dx.doi.org/10.1016/j.advengsoft.2013.12.007
S. Mirjalili, S. Z. Mohd Hashim, H. Moradian Sardroudi, Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm, Applied Mathematics and Computation, vol. 218, Issue 22, 15 July 2012, Pages 11125-11137, DOI: http://dx.doi.org/10.1016/j.amc.2012.04.069
S. Mirjalili, A. Lewis, S-shaped versus V-shaped transfer functions for binary Particle Swarm Optimization, Swarm and Evolutionary Computation, vol. 9, pp. 1-14, 2012 DOI: http://dx.doi.org/10.1016/j.swevo.2012.09.002  
S. Mirjalili, T. Rawlings, J. Hettenhausen, A, Lewis, A comparison of multi-objective optimisation metaheuristics on the 2D airfoil design problem ANZIAM journal, 2013 Volume 54, Pages C345 - C360, Link: http://journal.austms.org.au/ojs/index.php/ANZIAMJ/article/view/6154/1701
S. Saremi, S. Mirjalili, A. Lewis, Biogeography-based optimisation with chaos, Neural Computing and Applications, Volume 25, Pages 1077-1097, 2014, Springer DOI: http://dx.doi.org/10.1007/s00521-014-1597-x  
S. Mirjalili, S. M. Mirjalili, X. Yang, Binary Bat Algorithm, Neural Computing and Applications, Volume 25, Pages 663-681, 2014, Springer DOI: http://dx.doi.org/10.1007/s00521-013-1525-5
S. Mirjalili, S. Z. Mohd Hashim, BMOA: Binary Magnetic Optimization Algorithm, International Journal of Machine Learning and Computing , Volume 2, Issue 3, 15 July 2012, Pages 204-208, DOI: http://dx.doi.org/10.7763/IJMLC.2012.V2.114  
S. M. Mirjalili, S. Mirjalili, A. Lewis, A novel Multi-objective Optimization Framework for designing photonic crystal waveguides, Photonics Technology Letters, vol.26, no.2, pp.146-149, 2014, DOI: http://dx.doi.org/10.1109/LPT.2013.2290318
S. M. Mirjalili, S. Mirjalili, Oval-Shaped-Hole Photonic Crystal Waveguide Design by MoMIR Framework , vol.26, no.24, pp.2446-2449, 2014, DOI: http://dx.doi.org/10.1109/LPT.2014.2302478
S. Saremi, S. Mirjalili, A. Lewis, How important is a transfer function in discrete heuristic algorithms, Neural Computing and Applications, Volume 25, Pages 1423-1435, Springer, DOI: http://dx.doi.org/10.1007/s00521-014-1743-5 
S. M. Mirjalili,S. Mirjalili, A. Lewis, K. Abedi, A Tri-objective Particle Swarm Optimizer for Designing line defect Photonic Crystal Waveguides, Photonics and Nanostructures - Fundamentals and Applications, Volume 12, Pages 152-163,  2014, Elsevier, DOI: http://dx.doi.org/10.1016/j.photonics.2013.11.001
S. Mirjalili, K. Abedi, S. Mirjalili, Optical Buffer Performance Enhancement Using Particle Swarm Optimization in Ring-Shape-Hole Photonic Crystal Waveguide, published in Optik - International Journal for Light and Electron Optics, Vol. 124 (123), pp. 5989-5993, 2013, Elsevier, DOI: http://dx.doi.org/10.1016/j.ijleo.2013.04.114
S. M. Mirjalili, S. Mirjalili, A. Lewis, A. S. Sadiq, Autonomous Particles Groups for Particle Swarm Optimization, Arabian Journal for Science and Engineering,  vol. 39, no. 6, pp 4683-4697, DOI: http://dx.doi.org/10.1007/s13369-014-1156-x  
S. Saremi, S. M. Mirjalili, S. Mirjalili, Unit cell topology optimization of line defect photonic crystal waveguide, published in Procedia Technology, Volume 12, 2014, Pages 174-179, ISSN 2212-0173, DOI: http://dx.doi.org/10.1016/j.protcy.2013.12.472
S. Mirjalili, A. Lewis, Adaptive gbest guided Gravitational Search Algorithm, Neural Computing and Applications, Volume 25, Pages 1569-1584,, 2014, Springer DOI: http://dx.doi.org/10.1007/s00521-014-1640-y 
S. Saremi, S. M. Mirjalili, S. Mirjalili, Chaotic krill herd optimization algorithm, accepted in Procedia Technology, Volume 12, 2014, Pages 180-185, ISSN 2212-0173, DOI: http://dx.doi.org/10.1016/j.protcy.2013.12.473  
A. S. Sadiq, K. A. Bakar, K. Z. Ghafoor, J. Lloret, S. Mirjalili, A smart handover prediction system based on curve fitting model for Fast Mobile IPv6 in wireless networks. Available online 2 July 2012, Int. J. Commun. Syst., DOI: http://dx.doi.org/10.1002/dac.2386    

Selection conferance papers:

S. Mirjalili, S.Z. Mohd Hashim, A New Hybrid PSOGSA Algorithm for Function Optimization, published in IEEE International Conference on Computer and Information Application (ICCIA 2010), China, 2010, pp. 374-377, DOI: http://dx.doi.org/10.1109/ICCIA.2010.6141614
S. Mirjalili, A. Safa Sadiq, Magnetic Optimization Algorithm for Training Multi Layer Perceptron, published in IEEE International Conference on Industrial and Intelligent Information (ICIII 2011), Indonesia, 2011, Vol. 2, pp.42-46, DOI: http://dx.doi.org/10.1109/ICCSN.2011.6014845
S. M. Mirjalili, K. Abedi, S. Mirjalili, Light property and optical buffer performance enhancement using Particle Swarm Optimization in Oblique Ring-Shape-Hole Photonic Crystal Waveguide, published in Photonics Global Conference (PGC), 2012, DOI: http://dx.doi.org/10.1109/PGC.2012.6457997
S. M. Mirjalili, K. Abedi, and S. Mirjalili, “Slow light Properties Optimization in line defect photonic crystal waveguide using Particle Swarm Optimization,” published in ICOP, vol. 1, 2013 (in Farsi). Link: http://seminars.usb.ac.ir/Files/icop/fa-ir/Document/Full papers/19icop14.pdf
V. Abedifar, M. Eshghi, S. Mirjalili, and S. M. Mirjalili, “An Optimized Virtual Network Mapping Using PSO in Cloud Computing,” published in ICEE, 2013. DOI: http://dx.doi.org/10.1109/IranianCEE.2013.6599723