Social group optimization (SGO): a new population evolutionary optimization technique-Reference-Cited by-同舟云学术

Social group optimization (SGO): a new population evolutionary optimization technique

Published:2016-08-23 Issue:3 Volume:2 Page:173-203
ISSN:2199-4536
Container-title:Complex & Intelligent Systems
language:en
Short-container-title:Complex Intell. Syst.

Author:

Satapathy Suresh,Naik Anima

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

http://link.springer.com/content/pdf/10.1007/s40747-016-0022-8.pdf

Reference57 articles.

1. Tang KS et al (1996) Genetic algorithms and their applications. IEEE Signal Process Mag 13:22–37

2. Storn R, Price K (2010) Differential evolution—a simple and efficient heuristic for global optimization over continuous spaces. J Global Optim 23:689–694

3. Passino K (2002) Biomimicry of bacterial foraging for distributed optimization and control. IEEE Control Syst Mag 22(3):52–67

4. Eusuff M et al (2006) Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization. Eng Optim 38(2):129–154

5. Johnson DS et al (1989) Optimization by simulated annealing. An experimental evaluation Part I. Graph partitioning. Oper Res 37:865–892

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