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The swarm and the queen: towards a deterministic and adaptive particle swarm optimization
Abstract
A very simple particle swarm optimization iterative algorithm is presented, with just one equation and one social/confidence parameter. We define a "no-hope" convergence criterion and a "rehope" method so that, from time to time, the swarm re-initializes its position, according to some gradient estimations of the objective function and to the previous re-initialization (it means it has a kind of very rudimentary memory). We then study two different cases, a quite "easy" one (the Alpine function) and a "difficult" one (the Banana function), but both just in dimension two. The process is improved by taking into account the swarm gravity center (the "queen") and the results are good enough so that it is certainly worthwhile trying the method on more complex problems.
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Cites
A new optimizer using particle swarm theory
Eberhart, R., & Kennedy, J. (2002) · MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science · doi:10.1109/mhs.1995.494215 · Cited by 16,067
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Wang, D., Tan, D., & Liu, L. (2018) · Soft Computing · doi:10.1007/s00500-016-2474-6 · Cited by 3,343
A Cooperative Approach to Particle Swarm Optimization
vandenBergh, F., & Engelbrecht, A. P. (2004) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2004.826069 · Cited by 2,120
A Competitive Swarm Optimizer for Large Scale Optimization
Cheng, R., & Jin, Y. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2014.2322602 · Cited by 1,052
Position control of nonlinear hydraulic system using an improved PSO based PID controller
Ye, Y., Yin, C.-B., Gong, Y., & Zhou, J.-J. (2017) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2016.06.010 · Cited by 199
Evolutionary Algorithms for Wireless Communications — A Review of the State-of-the art
Goudos, S. K. (2014) · Contemporary Issues in Wireless Communications · doi:10.5772/59147 · Cited by 13
Metadata
- Authors
- Clerc, M.
- Venue
- Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406)
- Publisher
- IEEE
- Published
- 2003-01-20
- Pages
- 1951-1957
- OpenAlex
- W1907706552
- Cited by
- 1,692
- References
- 1
- FWCI
- 42.72
- Type
- conference paper
- Language
- en
- Open access
- closed
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