智能优化算法：粒子群算法相关代码

摘要：整理了相关改进粒子群算法的代码，方便大家学习,大家可以借鉴相应的思想去优化其他算法。

代码内容：

1.基于粒子群算法的路径规划（PSO Path Planning）。

2.二进制粒子群算法（BinaryPSO）

Khanesar, M.A., Teshnehlab, M. and Shoorehdeli, M.A., , June. A novel binary particle swarm optimization. In Mediterranean conference on control & automation (pp. 1-6). IEEE.

3.基于萤火虫粒子群的混合算法（hfpso）

A hybrid firefly and particle swarm optimization algorithm for computationally expensive numerical problems, Applied Soft Computing, Volume 66, May , Pages 232-249

4.高斯量子行为粒子群优化算法(GQBPSO)

Leandro dos Santos Coelho. Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems[J]. Expert Systems With Applications,,37(2).

5.改进的随机漂移粒子群优化算法(RDPSO)

Wael T. Elsayed, Yasser G. Hegazy, Mohamed S. El-bages, and Fahmy M. Bendary Improved Random Drift Particle Swarm Optimization With Self-Adaptive Mechanism for Solving the Power Economic Dispatch Problem,IEEE Transactions on Industrial Informatics, vol. 13, no. 3, p. 1017 - 1026, .

6.基于引力搜索和粒子群的混合优化算法(PSOGSA)

S. Mirjalili, S.Z. Mohd Hashim, New Hybrid PSOGSA Algorithm for Function Optimization, in IEEE International Conference on Computer and Information Application ICCIA ), China, , pp.374-377.

7.基于二进制引力搜索和粒子群的混合优化算法(BPSOGSA)

S. Mirjalili, G. G. Wang, L. S. Coelho Binary optimization using hybrid particle swarm optimization and gravitational search algorithm, in press, DOI: 10.1007/s00521-014-1629-6

8.改进二进制粒子群算法(NBPSO)

M.Rostami Shahrbabak and H.Nezamabadi-pour, " A New Approach to Binary PSO Algorithm" 14th Iranian Conference on Electrical Engineering, may .

9.相量粒子群优化算法(PPSO)

Ghasemi, Mojtaba, Ebrahim Akbari, Abolfazl Rahimnejad,Seyed Ehsan Razavi, Sahand Ghavidel, and Li Li.“Phasor particle swarm optimization: a simple and efficient variant of PSO.” Soft Computing 23, no. 19 (): 9701-9718.

10.自治粒子群算法(AGPSO)

S. Mirjalili, A. Lewis, A. Safa Sadiq Autonomous Particles Groups for Particle Swarm Optimization Arabian Journal for Science and Engineering

11.混合灰狼粒子群算法(PSOGWO)

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