An Empirical Comparison of Particle Swarm and Predator Prey Optimisation



In this paper we present and discuss the results of experimentally
comparing the performance of several variants of the standard swarm particle
optimiser and a new approach to swarm based optimisation. The new algorithm,
which we call predator prey optimiser, combines the ideas of particle swarm optimisation
with a predator prey inspired strategy, which is used to maintain diversity
in the swarm and preventing premature convergence to local suboptima.
This algorithm and the most common variants of the particle swarm
optimisers are tested in a set of multimodal functions commonly used as
benchmark optimisation problems in evolutionary computation.




Particle Swarm Optimization


AICS 2002, September 2002

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Year 2010 : 2 citations

 Quande Qin, Rongjun Li, Ben Niu and Li Li, A new PSO model mimicking bio-parasitic behavior, in Advances in Swarm Intelligence, LNCS Vol. 6145, pp. 68-77, Springer, 2010.

 S Chowdhury, GS Dulikravich (2010). Improvements to single-objective constrained predator"prey evolutionary optimization algorithm. Structural and Multidisciplinary Optimization, Vol 41, Number 4m pp. 541-554, Springer, 2010

Year 2009 : 10 citations

 Cheng-Jian Lin, Cheng-Hung Chen and Chin-Teng Lin (2009). A Hybrid of Cooperative Particle Swarm Optimization and Cultural Algorithm for Neural Fuzzy Networks and Its Prediction Applications IEEE Transactions on Systems, Man, and Cybernetics"Part C: Applications and Reviews, 39(1), pp. 55-68, IEEE 2009.

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 Shuyuan Wu and Anthony Brabazon (2009). The Emergence of a Market: What Efforts Can Entrepreneurs Make? Natural Computing in Computational Finance, Studies in Computational Intelligence, Vol 185, pp. 225-243, Springer 2009.

 Souma Chowdhury and George S. Dulikravich (2009). Improvements to single-objective constrained predator"prey evolutionary optimization algorithm. Structural and Multidisciplinary Optimization, pp. 1-14, Springer 2009.

 Zhou Xian-cheng (2009). Image Segmentation Based on Modified Particle Swarm Optimization and Fuzzy C-Means Clustering. Second International Conference on Intelligent Computation Technology and Automation, vol. 1, pp.611-616, 2009

 Muhammad Rashid, Abdul Rauf Baig, Kashif Zafar, "Niching with Sub-swarm Based Particle Swarm Optimization," icctd, vol. 2, pp.181-183, 2009 International Conference on Computer Technology and Development, 2009

 G. H. Shakouri, K. Shojaee, H. Zahedi (2009).An effective particle swarm optimization algorithm embedded in SA to solve the traveling salesman problem. Proceedings of the 21st annual international conference on Chinese control and decision conference, pp. 5581-5586, IEEE Press, 2009.

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Year 2008 : 5 citations

 Shu-Yuan Wu A and Anthony K. Brabazon A (2008). A garbage can model for Schumpeterian process: the network effects. International Journal of Foresight and Innovation Policy, Volume 4, Number 3-4, pp. 287-106, InderScience Publishers.

 Mitsuharu Higashitani, Atsushi Ishigame, Keiichiro Yasuda (2008). Pursuit-Escape Particle Swarm Optimization. IEEJ Transactions on Electrical and Electronic Engineering, Volume 3 Issue 1, Pages 136 - 142, Wiley 2008.

 Xian-cheng Zhou, Qun-tai Shen, Li-mei Liu (2008). New two-dimensional fuzzy C-means clustering algorithm for image segmentation. Journal of Central South University of Technology, Volume 15, Number 6, Springer 2008.

 Lin, CJ; Chen, CH; Lin, CT.
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Year 2007 : 7 citations

 Yu Liu, Zheng Qin, Zhewen Shi, Jiang Lu. Center particle swarm optimization, Neurocomputing, Volume 70 , Issue 4-6 (January 2007), pp.672-679, ISSN:0925-2312, Elsevier Science Publishers B. V. Amsterdam, The Netherlands, The Netherlands, 2007.

 Sébastien Piccand , Michael O'Neill and Jacqueline Walker (2007). Scalability of particle swarm Algorithms. Proceedings of the 9th annual conference on Genetic and evolutionary computation, Ant colony optimization, swarm intelligence, and artificial immune systems: posters, pp. 179 " 179, ACM Press, 2007.

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 Mitsuharu Higashitani, Atsushi Ishigame, Keiichiro Yasuda, Pursuit-Escape Particle Swarm Optimization, IEEJ Transactions on Electrical and Electronic Engineering, Volume 3, Number 1, pp. 136-142.

Year 2006 : 5 citations

 Brabazon, Anthony; O'Neill, Michael, Biologically Inspired Algorithms for Financial Modelling, Springer Verlag, 2006.

 Michael O"Neill, Anthony Brabazon, Grammatical Swarm: The generation of programs by social programming, Natural Computing, , Volume 5, Issue 4, pp. 443-462, 2006.

 Gao, F. Liu, H. Zhao, Q. Cui, G., Virus-Evolutionary Particle Swarm Optimization Algorithm , Lecture Notes in Computer Science, 2006, NUMB 4222, pages 156-165, Springer-Verlag.

 Qin, Z. Yu, F. Shi, Z. Wang, Y., Adaptive Inertia Weight Particle Swarm Optimization, Lecture Notes in Computer Science, 2006, Vol. 4029, pages 450-459, Springer-Verlag.

 Ho, S.L. Yang, S. Ni, G. Wong, H.C., A Particle Swarm Optimization Method With Enhanced Global Search Ability for Design Optimizations of Electromagnetic Devices, IEEE Transactions on Magnetics, April 2006, Volume: 42, pp. 1107- 1110

Year 2005 : 5 citations

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 Salima Nabti, Souham Meshoul, and Mohamed Batouche, Predator Prey Optimizer for Unsupervised Clustering in Image Segmentation, International Arab Conference on Information Technology, ACIT'2005, December 6th- 8th, 2005, Al-Isra Private University, Jordan.

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 Janson and Martin Middendorf, A Hierarchical Particle Swarm Optimizer and Its Adaptive Variant Stefan, IEEE Transactions On Systems, Man, And Cybernetics"Part B: Cybernetics, Vol. 35, No. 6, December 2005.

Year 2004 : 5 citations

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  Supervisor-Student Model in Particle Swarm Optimization, Yu Liu , Zheng Qin , Xingshi He, in Proceedings of the Congress on Evolutionary Computation (CEC 2004), pp 542-547

 The Automatic Generation of Programs for Classification Problems with Grammatical Swarm, Michael O�Neill, Anthony Brabazon, Catherine Adley, in Proceedings of the Congress on Evolutionary Computation (CEC 2004) � pp104-110.

  Franken N. (2004) PSO-based coevolutionary game learning. MSc thesis, Department of Computer Science, University of Pretoria, South Africa

 Pontus Svenson, Christian M�rtenson, Hedvig Sidenbladh, Michael Malm, Swarm Intelligence for logistics: Background, FOI-R--1180�SE, February 2004, ISSN 1650-1942, Swedish Defense, Research Agency.