A Combined Swarm Differential Evolution Algorithm for Optimization Problems-Reference-Cited by-同舟云学术

A Combined Swarm Differential Evolution Algorithm for Optimization Problems

Published:2001 Issue: Volume: Page:11-18
ISSN:0302-9743
Container-title:Engineering of Intelligent Systems
language:
Short-container-title:

Author:

Hendtlass Tim

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-45517-5_2

Reference9 articles.

1. Lecture Notes in Artificial Intelligence;Copland,1998

2. De Jong 1975. Analysis of the Behavior of a Class of Genetic Adaptive Systems. De Jong, K. A. Ph.D. Dissertation, Department of Computer and Communication Sciences, University of Michigan, Ann Arbor, MI, USA.

3. Eberhart et al 1996. Eberhart. R. C., Dobbins, P., Simpson, P. Computational Intelligence PC Tools, Academic Press, Boston.

4. Holland 1975. Adaption in Natural and Artificial Systems. Holland J. H. University of Michigan Press, Ann Arbor 1975.

5. Kennedy and Eberhart 1995. Particle Swarm Optimization. Kennedy, J and Eberhart. R. C, Proc. IEEE International Conference on Neural Networks, Perth Australia, IEEE Service Centre, Piscataway NJ USA IV:1942–1948

Cited by 52 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Hybrid Parallel Willow Catkin Optimization Algorithm Applied for Engineering Optimization Problems;IEEE Access;2024

2. Improved particle swarm optimization based on hyperbolic cross points algorithm;3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023);2023-07-28

3. Inversion of self-potential data by a hybrid DE/PSO algorithm;Acta Geodaetica et Geophysica;2023-06

4. Particle Swarm Optimization;Optimization Techniques in Engineering;2023-04-28

5. A systematic overview of developments in differential evolution and particle swarm optimization with their advanced suggestion;Applied Intelligence;2022-01-14