QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm-Reference-Cited by-同舟云学术

QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm

Published:2023-03 Issue: Volume:213 Page:119246
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zhao Shangrui^ORCID,Wu Yulu,Tan Shuang,Wu Jinran^ORCID,Cui Zhesen^ORCID,Wang You-Gan^ORCID

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

National College Students Innovation and Entrepreneurship Training Program

Ministry of Education of the People's Republic of China Humanities and Social Sciences Youth Foundation

Australian Research Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference61 articles.

1. Parameter estimation of photovoltaic models using an improved marine predators algorithm;Abdel-Basset;Energy Conversion and Management,2021

2. Reptile search algorithm (rsa): A nature-inspired meta-heuristic optimizer;Abualigah;Expert Systems with Applications,2022

3. Improved multi-core arithmetic optimization algorithm-based ensemble mutation for multidisciplinary applications;Abualigah;Journal of Intelligent Manufacturing,2022

4. Aquila optimizer: A novel meta-heuristic optimization algorithm;Abualigah;Computers & Industrial Engineering,2021

5. Info: An efficient optimization algorithm based on weighted mean of vectors;Ahmadianfar;Expert Systems with Applications,2022

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