Bat algorithm based on simulated annealing and Gaussian perturbations-Reference-Cited by-同舟云学术

Bat algorithm based on simulated annealing and Gaussian perturbations

Published:2013-11-23 Issue:2 Volume:25 Page:459-468
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

He Xing-shi,Ding Wen-Jing,Yang Xin-She

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-013-1518-4.pdf

Reference23 articles.

1. Yang XS (2010) A new metaheuristic bat-inspired algorithm. In: Nature inspired cooperative strategies for optimization (NICSO), vol 284. Springer, SCI, pp 65–74

2. Yang XS (2011) Bat algorithm for multi-objective optimization. Int J Bio Inspired Comput 3(5):267–274

3. Li ZY, Ma L, Zhang HZ (2012) Genetic mutation bat algorithm for 0–1 knapsack problem. Comput Eng Appl 2012(35):1–10 (in Chinese)

4. Lemma TA (2011) Use of fuzzy systems and bat algorithm for energy modeling in a gas turbine generator. In: IEEE Colloquium on Humanities, Science and Engineering, pp 305–310

5. Yang XS, Gandomi AH (2012) Bat algorithm: a novel approach for global engineering optimization. Eng Comput 29(5):464–483

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