An archive-based artificial bee colony optimization algorithm for multi-objective continuous optimization problem-Reference-Cited by-同舟云学术

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An archive-based artificial bee colony optimization algorithm for multi-objective continuous optimization problem

Published:2016-12-31 Issue:9 Volume:30 Page:2661-2671
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Ning Jiaxu,Zhang Bin,Liu Tingting,Zhang Changsheng

Funder

National Natural Science Foundation Program of China

Special Fund for Fundamental Research of Central Universities of Northeastern University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-016-2821-7/fulltext.html

Reference21 articles.

1. Pamučar D, Ljubojević S, Kostadinović D, Đorović B (2016) Cost and risk aggregation in multi-objective route planning for hazardous materials transportation—a neuro-fuzzy and artificial bee colony approach. Expert Syst Appl 65:1–15

2. Dwivedi AK, Ghosh S, Londhe ND (2016) Low power FIR filter design using modified multi-objective artificial bee. colony algorithm. Eng Appl Artif Intell 55:58–69

3. Deb K, Pratap A, Agarwal S (2002) fast and elitist multi-objective genetic algorithm NSGA-II. IEEE Trans Evol Comput 6(2):182–197

4. Cheng R, Jin Y, Olhofer M, Sendhoff B (2016) A reference vector guided evolutionary algorithm for many-objective optimization. IEEE Trans Evol Comput 20(5):773–791

5. Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J Glob Optim 39(3):459

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