Improved ant colony algorithm based on multi-objective optimization control-Reference-Cited by-同舟云学术

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Improved ant colony algorithm based on multi-objective optimization control

Published:2022-06-17 Issue: Volume: Page:
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Container-title:2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
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Author:

Li Zhang¹,Luo Yixiang¹,Qin Jian²,Zhong Yubin³

Affiliation:

1. School of Mathematics and Information Science, Guangzhou University,Guangzhou,China

2. Guangzhou University,Department of Electronics and Communication Engineering,Guangzhou,China

3. Guangzhou University,Department of Mathematics and Information Science,Guangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9836326/9836330/09836764.pdf?arnumber=9836764

Reference9 articles.

1. Optimization of furnace temperature curve area based on improved genetic algorithm and neural network[J];xue;Practice and Understanding of Mathematics,2021

2. An improved gray wolf optimization algorithm for solving the railroad logistics distribution center location problem[J];hao;Computer Applications,2021

3. Improved genetic algorithm for state-space model and its global convergence analysis[J];zhan;Control theory and applications,2020

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1. Strategic Integration of DG and ESS by using Hybrid Multi Objective Optimization with Wind Dissemination in Distribution Network;International Journal of Electrical and Electronics Research;2022-12-30

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