Stability and iterative convergence of water cycle algorithm for computationally expensive and combinatorial Internet shopping optimisation problems-Reference-Cited by-同舟云学术

Stability and iterative convergence of water cycle algorithm for computationally expensive and combinatorial Internet shopping optimisation problems

Published:2018-11-27 Issue:5 Volume:31 Page:701-721
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Sayyaadi Hassan¹,Sadollah Ali²^ORCID,Yadav Anupam³,Yadav Neha⁴

Affiliation:

1. School of Mechanical Engineering, Sharif University of Technology, Tehran, Iran

2. Department of Mechanical Engineering, University of Science and Culture, Tehran, Iran

3. Department of Sciences and Humanities, National Institute of Technology, Srinagar (Garhwal), Uttarakhand, India

4. School of Engineering and Technology, BML Munjal University, Gurugram, India

Funder

Iran’s National Elites Foundation

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2018.1549109

Reference38 articles.

1. Application of Krill Herd and Water Cycle Algorithms on Dynamic Economic Load Dispatch Problem

2. Novel dual discounting functions for the Internet shopping optimization problem: new algorithms

3. Internet shopping optimization problem

4. Chen, Q., Liu, B., Zhang, Q., Liang, J. J., Suganthan, P. N. & Qu, B. Y. (2014). Problem definition and evaluation criteria for CEC 2015 special session and competition on bound constrained single-objective computationally expensive numerical optimization. Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China and Nanyang Technological University, Singapore, Technical Report.

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