On mass effects to artificial physics optimisation algorithm for global optimisation problems

International Journal of Innovative Computing and Applications

Volumn 2, Issue 2, 2009, Pages 69-76

  Xie, Liping ^a,b   Zeng, Jianchao ^b   Cui, Zhihua ^b  

^a LANZHOU UNIVERSITY OF TECHNOLOGY   (China)

^b TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

APO; Artificial physics optimisation; Global optimisation; Newton's second law; Physicomimetics; Virtual force

Indexed keywords

BENCHMARKING; FUNCTIONS; GLOBAL OPTIMIZATION;

GLOBAL OPTIMISATION; NEWTON'S SECOND LAW; OPTIMISATIONS; PHYSICOMIMETICS; VIRTUAL FORCES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 77949445411     PISSN: 1751648X     EISSN: 17516498     Source Type: Journal    
DOI: 10.1504/IJICA.2009.031777     Document Type: Article

References (23)

1. Birbil, S.I. and Fang, S-C. (2003) 'An electromagnetism-like mechanism for global optimization', Journal of Global Optimization, Vol. 25, No. 3, pp.263-282.
2. Bonabeau, E., Dorigo, M. and Theraulaz, G. (1999) Intelligence: From Natural to Artificial Intelligence, Oxford University Press, New York, NY.
3. Eberhart, R. and Kennedy, J. (1995) 'New optimizer using particle swarm theory', Proceedings of the Sixth International Symposium on Micro Machine and Human Science, Nagoya, Japan, pp.39-43, IEEE CS Press.
4. Formato, R.A. (2008) 'Central force optimization: a new nature inspired computational framework for multidimensional search and optimization', Studies in Computational Intelligence, Vol. 129, pp.221-238, Springer.
5. He, R., Wang, Y.J., Wang, Q. et al. (2005) 'An improved particle swarm optimization based on self-adaptive escape velocity', Journal of Software, Vol. 16, No. 12, pp.2036-2044.
6. Holland, J.H. (1975) Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, MI.
7. Kennedy, J. and Eberhart, R. (1995) 'Particle swarm optimization', Proceedings of ICNN'95 - IEEE International Conference on Neural Networks, Perth, WA, Australia, pp.1942-1948, IEEE CS Press.
8. Kerr, W., Spears, D.F., Spears, W.M. et al. (2005) 'Two formal gas models for multi-agent sweeping and obstacle avoidance', Lecture Notes in Artificial Intelligence, Vol. 3228, pp.111-130.
9. Parsopoulos, K.E. and Vrahatis, M.N. (2002) 'Particle swarm optimization method for constrained optimization problems', Proceedings of the Euro-International Symposium on Computational Intelligence (E-ISCI 2002).
10. Parsopoulos, K.E., Kariotou, F., Dassios, G. and Vrahatis, M.N. (2009) 'Tackling magnetoencephalography with particle swarm optimization', Int. J. Bio-Inspired Computation, Vol. 1, Nos. 1/2, pp.32-49.
11. Price, K.V., Storn, R.M. and Lampinen, J.A. (Eds.) (2005) Differential Evolution: A Practical Approach to global Optimization, Springer Natural Computing Series.
12. Rocha, A.M.A.C. and Fernandes, E.M.G.P. (2008) 'On charge effects to the electromagnetism-like algorithm', The 20th International Conference, EURO Mini Conference 'Continuous Optimization and Knowledge-Based Technologies' (EurOPT-2008), 'Technika', pp.198-203, Vilnius Gediminas Technical University Publishing House.
13. Shah-Hosseini, H. (2009) 'The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm', Int. J. Bio-Inspired Computation, Vol. 1, Nos. 1/2, pp.71-79.
14. Shang, Y.W. and Qiu, Y.H. (2006) 'A note on the extended Rosebrock function', Evolutionary Computation, Vol. 14, No. 1, Spring, pp.119-126.
15. Spears, D.F. and Spears, W.M. (2003) 'Analysis of a phase transition in a physics-based multiagent system', Lecture Notes in Computer Science, Vol. 2699, pp.193-207.
16. Spears, D.F., Kerr, W. and Spears, W.F. (2006) 'Physics-based robots swarms for coverage problems', International Journal on Intelligent Control and Systems, Vol. 11, No. 3, pp.11-23.
17. Spears, D.F., Kerr, W. et al. (2005a) 'An overview of physicomimetics', Lecture Notes in Computer Science-State of the Art Series, Vol. 3324, pp.84-97.
18. Spears, W.M. and Spears, D.F. (1999) 'Using artificial physics to control agents', IEEE International Conference on Information, Intelligence, and Systems, Washington, DC, pp.281-288.
19. Spears, W.M., Heil, R. and Zarzhitsky, D. (2005b) 'Artificial physics for mobile robot formations', Systems, Man and Cybernetics, Vol. 3, pp.2287-2292.
20. Spears, W.M., Heil, R., Spears, D.F. and Zarzhitsky, D. (2004b) 'Physicomimetics for mobile robot formations', Proceedings of the Third International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-04), New York, USA, Vol. 3, pp.1528-1529.
21. Spears, W.M., Spears, D.F. and Heil, R. (2005c) 'A formal analysis of potential energy in a multiagent system', Lecture Notes in Computer Science, Vol. 3228, pp.131-145.
22. Spears, W.M., Spears, D.F., Hamann, J. et al. (2004a) 'Distributed, physics-based control of swarms of vehicles', Autonomous Robots, Vol. 17, Nos. 2-3, pp.137-162.
23. Xue, S., Zhang, J. and Zeng, J. (2009) 'Parallel asynchronous control strategy for target search with swarm robots', Int. J. Bio-Inspired Computation, Vol. 1, No. 3, pp.151-163.