SAPPO: A Simple, Adaptive, Predator Prey Optimiser



The balance of exploration and exploitation in particle swarm
optimisation is closely related to the choice of the algorithm's parame-
ters. Achieving the right balance is essential for the success of a given
optimisation task. This choice is a di±cult task, since for di®erent func-
tions being optimised the ideal parameter sets can also bee very di®erent.
In this paper we try to deal with this issue by introducing two new mech-
anisms in the basic particle swarm optimiser: a predator-prey strategy
to help maintain diversity in the swarm and a symbiosis based adaptive
scheme to allow the co-evolution of the algorithm parameters and the
parameters of the function being optimised.


Particle Swarm, Optmization


EPIA\'03, December 2003

Cited by

Year 2009 : 2 citations

 M. Kathrada (2009). The flexi-PSO: Towards a more flexible particle swarm optimizer. OPSEARCH, Volume 46, Number 1, pp. 52-68, Springer 2009.

 Xiaoxiang Liu, Weigang Jiang, Jianwen Xie (2009). A particle swarm optimization algorithm based on molecule diffusion. International Conference on Industrial Mechatronics and Automation, pp. 125 - 128, IEEE Press, 2009.

Year 2008 : 1 citations

 Weigang Jiang, Yuanbiao Zhang, Jianwen Xie (2008). A Particle Swarm Optimization Algorithm Based on Diffusion-Repulsion and Application to Portfolio Selection. 2008 International Symposium on Information, Science and Engieering, vol. 2, pp.498-501, 2008.

Year 2007 : 1 citations

 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 : 1 citations

 Higashitani, M; Ishigame, A; Yasuda, K.
Particle Swarm optimization considering the concpet of preadtor-prey bnehaviour. 2006 IEEE Congress on Evolutionary Computation, Vols. 1-6:434-437, 2006.

Year 2005 : 3 citations

 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.

 Volker Strunk, R�uber-Beute-Mechanismen zur Lenkung von Populationen in Evolution�ren Algorithmen, Diplomarbeit, Universit�t Dortmund, Fachbereich Informatik, April 2005.

 Liu, BF; Chen, HM; Huang, HL; Hwang, SF; Ho, SY.
Flexible ptrotein-ligand docking using particle swarm optimization. 2005 IEEE Congress on Evolutionary CXomputation, vols 1-3: 251-258, 2005.