Solving multi-objective optimization problem using cuckoo search algorithm based on decomposition-Reference-Cited by-同舟云学术

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Solving multi-objective optimization problem using cuckoo search algorithm based on decomposition

Published:2020-08-06 Issue:1 Volume:51 Page:143-160
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Chen Liang^ORCID,Gan Wenyan,Li Hongwei,Cheng Kai,Pan Darong,Chen Li,Zhang Zili

Funder

National Natural Science Foundation of China

State Key Laboratory of Soil Plant Machinery System Technology

Construction System Science and Technology Guidance Project of Jiangsu

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-020-01816-y.pdf

Reference59 articles.

1. Cai X, Yang Z, Fan Z, Zhang Q (2016) Decomposition-based-sorting and angle-based-selection for evolutionary multiobjective and many-objective optimization. IEEE Trans Cybern 47(9):2824–2837

2. Cao Y, Ding ZM, Xue F, Rong XT (2018) An improved twin support vector machine based on multi-objective cuckoo search for software defect prediction. Int J Bio-Inspired Comput 11(4):282–291

3. Civicioglu P, Besdok E (2013) A conceptual comparison of the cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms. Artif Intell Rev 39(4):315–346

4. Coello CAC, Cortés NC (2005) Solving multiobjective optimization problems using an artificial immune system. Gen Programm Evol Mach 6(2):163–190

5. Coello CAC, Pulido GT, Lechuga MS (2004) Handling multiple objectives with particle swarm optimization. Ieee Trans Evol Comput 8(3):256–279

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