Particle Swarm Optimisation

Refereed Journal Articles and Edited Journal Special Issues

  1. Juan Rada-Vilela, Mengjie Zhang, and Winston Seah. "A performance study on synchronicity and neighborhood size in particle swarm optimization". Soft Computing vol. 17, no. 6 (2013): 1019-1030. [ http | BibTex ]
  2. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images". Information Sciences (Journal, Elsevier) vol. 246 (2013): 28-51. [ http | BibTex ]
  3. Bing Xue, Mengjie Zhang, and Will Browne. "Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach". IEEE Transactions on Systems, Man, and Cybernetics (Part B) (2012). [ http | .pdf | BibTex ]
  4. Bing Xue, Liam Cervante, Lin Shang, Will Browne, and Mengjie Zhang. "A multi-objective particle swarm optimisation for filter-based feature selection in classification problems". Connection Science vol. 24, no. 2-3 (2012): 91-116. [ http | .pdf | BibTex ]
  5. Ammar W. Mohemmed, Mark Johnston, and Mengjie Zhang. "Particle swarm optimisation based AdaBoost for object detection". Soft Computing vol. 15, no. 9 (2011): 1793-1805. [ http | BibTex ]

Refereed Book Chapters, and Papers in Conference Proceedings

  1. Aneta Stevanovic, Bing Xue, and Mengjie Zhang. "Feature selection based on PSO and decision-theoretic rough set model". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 2840-2847. IEEE, 2013. [ http | BibTex ]
  2. Bing Xue, Mengjie Zhang, Yan Dai, and Will Browne. "PSO for feature construction and binary classification". In Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference. Amsterdam, The Netherlands, pp 137-144. ACM, 2013. [ http | BibTex ]
  3. Liam Cervante, Bing Xue, Lin Shang, and Mengjie Zhang. "A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory". In Proceedings of the 13th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2013). pp 25-36. 2013. [ http | BibTex ]
  4. Bing Xue, Mengjie Zhang, and Will Browne. "Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification". In Proceedings of the 16th European Conference on Applications of Evolutionary Computation (EvoApplications 2013). pp 428-438. 2013. [ http | BibTex ]
  5. Juan Rada-Vilela, Mengjie Zhang, and Mark Johnston. "Resampling in Particle Swarm Optimization". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 947-954. IEEE, 2013. [ http | BibTex ]
  6. Liam Cervante, Bing Xue, Lin Shang, and Mengjie Zhang. "Binary particle swarm optimisation and rough set theory for dimension reduction in classification". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 2428-2435. IEEE, 2013. [ http | BibTex ]
  7. Juan Rada-Vilela, Mengjie Zhang, and Mark Johnston. "Optimal computing budget allocation in particle swarm optimization". In Proceedings of Genetic and Evolutionary Computation Conference. Amsterdam, The Netherlands, pp 81-88. 2013. [ http | BibTex ]
  8. Juan Rada-Vilela, Mengjie Zhang, and Winston Seah. "Evaporation Mechanisms for Particle Swarm Optimization". In Proceedings of the 2012 International Conference on Simulated Evolution And Learning vol. 7676. Hanoi, Vietnam, pp 238-247. 2012. [ http | BibTex ]
  9. Liam Cervante, Bing Xue, Mengjie Zhang, and Lin Shang. "Binary particle swarm optimisation for feature selection: A filter based approach". In IEEE Congress on Evolutionary Computation. pp 881-888. IEEE Press, 2012. [ http | BibTex ]
  10. Bing Xue, Liam Cervante, Lin Shang, and Mengjie Zhang. "A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification". In Proceedings of 2012 Pacific Rim International Conference on Artificial Intelligence. pp 673-685. 2012. [ http | BibTex ]
  11. Liam Cervante, Bing Xue, Lin Shang, and Mengjie Zhang. "A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory". In Australasian Conference on Artificial Intelligence. pp 313-325. 2012. [ http | BibTex ]
  12. Bing Xue, Mengjie Zhang, and Will Browne. "Single Feature Ranking and Binary Particle Swarm Optimisation Based Feature Subset Ranking for Feature Selection". In Australian Computer Science Communications. Melboune, Australia, pp 27-36. 2012. [ http | BibTex ]
  13. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "Effects of static and dynamic topologies in Particle Swarm Optimisation for edge detection in noisy images". In IEEE Congress on Evolutionary Computation. pp 8-15. IEEE Press, 2012. [ http | BibTex ]
  14. Bing Xue, Mengjie Zhang, and Will Browne. "New fitness functions in binary particle swarm optimisation for feature selection". In IEEE Congress on Evolutionary Computation. pp 2145-2152. IEEE Press, 2012. [ http | BibTex ]
  15. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "A spatial random-meaningful neighbourhood topology in pso for edge detection in noisy images". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). Philadelphia, USA, pp 1403-1404. ACM Press, 2012. [ http | BibTex ]
  16. Bing Xue, Mengjie Zhang, and Will Browne. "Multi-objective particle swarm optimisation (PSO) for feature selection". In Proceedings of Genetic and Evolutionary Computation Conference. Philadelphia, USA, pp 81-88. ACM Press, 2012. [ http | BibTex ]
  17. Juan Rada-Vilela, Mengjie Zhang, and Winston Seah. "A performance study on the effects of noise and evaporation in Particle Swarm Optimization". In IEEE Congress on Evolutionary Computation. pp 873-880. IEEE Press, 2012. [ http | BibTex ]
  18. Juan Rada-Vilela, Mengjie Zhang, and Winston Seah. "A performance study on synchronous and asynchronous updates in particle swarm optimization". In Proceedings of Genetic and Evolutionary Computation Conference. pp 21-28. ACM Press, 2011. [ http | BibTex ]
  19. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "Detection of continuous, smooth and thin edges in noisy images using constrained particle swarm optimisation". In Proceedings of Genetic and Evolutionary Computation Conference. pp 45-52. ACM Press, 2011. [ http | BibTex ]
  20. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Hybrid particle swarm optimisation based on history information sharing". In Proceedings of Genetic and Evolutionary Computation Conference. pp 77-84. ACM Press, 2011. [ http | BibTex ]
  21. Jingxuan Wei, and Mengjie Zhang. "A memetic particle swarm optimization for constrained multi-objective optimization problems". In IEEE Congress on Evolutionary Computation. New Orleans, USA, pp 1635-1642. IEEE Press, 2011. [ http | BibTex ]
  22. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "Edge detection using constrained discrete particle swarm optimisation in noisy images". In IEEE Congress on Evolutionary Computation. New Orleans, USA, pp 246-253. IEEE Press, 2011. [ http | BibTex ]
  23. Jingxuan Wei, and Mengjie Zhang. "Attraction based PSO with sphere search for dynamic constrained multi-objective optimization problems". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). pp 77-78. ACM Press, 2011. [ http | BibTex ]
  24. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation". In EvoApplications vol. 6624. Torino, Italy, pp 173-182. 2011. [ http | BibTex ]
  25. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images". In Australasian Conference on Artificial Intelligence vol. 7106. Perth, Australia, pp 609-618. Springer, 2011. [ http | BibTex ]
  26. Juan Rada-Vilela, Mengjie Zhang, and Winston Seah. "Random Asynchronous PSO". In Proceedings of the 5th International Conference on Automation, Robots and Applications. Wellington, New Zealand, pp 220-225. IEEE Press, 2011. [ http | BibTex ]
  27. Ammar W. Mohemmed, Mengjie Zhang, and Will Browne. "Particle swarm optimisation for outlier detection". In Proceedings of Genetic and Evolutionary Computation Conference. Portland, USA, pp 83-84. ACM, 2010. [ http | BibTex ]
  28. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "Improving edge detection using particle swarm optimisation". In Image and Vision Computing New Zealand (IVCNZ), 2010 25th International Conference of. Queenstown, New Zealand, pp 1-8. IEEE, 2010. [ http | BibTex ]
  29. Lee Macri, Will Browne, and Mengjie Zhang. "Particle swarm optimisation based AdaBoost for facial expression classification of still images". In Image and Vision Computing New Zealand (IVCNZ), 2010 25th International Conference of. Queenstown, New Zealand, pp 1-8. IEEE, 2010. [ http | BibTex ]
  30. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Hybrid Particle Swarm Optimisation Algorithms Based on Differential Evolution and Local Search". In Australasian Conference on Artificial Intelligence vol. 6464. Adelaide, Australia, pp 313-322. Springer, 2010. [ http | BibTex ]
  31. Mahdi Setayesh, Mark Johnston, and Mengjie Zhang. "Edge and Corner Extraction Using Particle Swarm Optimisation". In Australasian Conference on Artificial Intelligence vol. 6464. Adelaide, Australia, pp 323-333. Springer, 2010. [ http | BibTex ]
  32. Nor, Ammar W. Mohemmed, and Mengjie Zhang. "Particle Swarm Optimization for Coverage Maximization and Energy Conservation in Wireless Sensor Networks". In EvoApplications vol. 6021. pp 51-60. Springer, 2010. [ http | BibTex ]
  33. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "A new homogeneity-based approach to edge detection using PSO". In Image and Vision Computing New Zealand, 2009. IVCNZ'09. 24th International Conference. Wellington, New Zealand, pp 231-236. IEEE Press, 2009. [ http | BibTex ]
  34. Ammar W. Mohemmed, Mark Johnston, and Mengjie Zhang. "Particle swarm optimization based multi-prototype ensembles". In Proceedings of Genetic and Evolutionary Computation Conference. pp 57-64. ACM Press, 2009. [ http | BibTex ]
  35. Ammar W. Mohemmed, Mengjie Zhang, and Mark Johnston. "Particle Swarm Optimization based Adaboost for face detection". In IEEE Congress on Evolutionary Computation. pp 2494-2501. IEEE Press, 2009. [ http | BibTex ]
  36. Ammar W. Mohemmed, Mengjie Zhang, and Nirod Chandra Sahoo. "Cooperative Particle Swarm Optimization for the Delay Constrained Least Cost Path Problem". In Proceedings of the Eighth European Conference on Evolutionary Computation in Combinatorial Optimisation European Conference on Genetic Programming, Lecture Notes in Computer Science vol. 4972. Naple, Italy, pp 25-35. Springer, 2008. [ http | BibTex ]
  37. Ammar W. Mohemmed, Mengjie Zhang, and Nirod Chandra Sahoo. "Cooperative Particle Swarm Optimization for the Delay Constrained Least Cost Path Problem". In Proceedings of the Eighth European Conference on Evolutionary Computation in Combinatorial Optimisation European Conference on Genetic Programming, Lecture Notes in Computer Science vol. 4972. Naple, Italy, pp 25-35. Springer, 2008. [ http | BibTex ]
  38. Ammar W. Mohemmed, and Mengjie Zhang. "Evaluation of particle swarm optimization based centroid classifier with different distance metrics". In IEEE Congress on Evolutionary Computation. Hong Kong, pp 2929-2932. IEEE Press, 2008. [ http | BibTex ]
  39. Hamish Evans, and Mengjie Zhang. "Particle swarm optimisation for object classification". In Image and Vision Computing New Zealand, 2008. IVCNZ 2008. 23rd International Conference. pp 1-6. IEEE, 2008. [ http | BibTex ]