A Micro Dynamic Multi-objective Evolutionary Algorithm for Small-scale Smart Greenhouse with Low-power Microprocessor-Reference-Cited by-同舟云学术

A Micro Dynamic Multi-objective Evolutionary Algorithm for Small-scale Smart Greenhouse with Low-power Microprocessor

Published:2024-07-14 Issue: Volume: Page:687-690
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
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Author:

Luo Zhongtian¹^ORCID,Xiong Jianpeng¹^ORCID,Peng Hu¹^ORCID,Zhan Gaosheng¹^ORCID,Zhang Qingfu²^ORCID,Wang Hui³^ORCID,Zhou Xinyu⁴^ORCID,Li Wei⁵^ORCID,Huang Ying⁶^ORCID

Affiliation:

1. Jiujiang University, Jiujiang, China

2. City University of Hong Kong, Hong Kong, China

3. Nanchang Institute of Technology, Nanchang, China

4. Jiangxi Normal University, Nanchang, China

5. Jiangxi University of Science and Technology, Ganzhou, China

6. Gannan Normal University, Ganzhou, China

Funder

National Natural Science Foundation of China

Jiangxi Provincial Natural Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638530.3654276

Reference18 articles.

1. Carlos A. Coello Coello Coello and Gregorio Toscano Pulido. 2001. A Micro-Genetic Algorithm for Multiobjective Optimization. In Evolutionary Multi-Criterion Optimization, Vol. 1993. Springer, 126--140.

2. Kalyanmoy Deb Udaya N and Karthik Sindhya. 2007. Dynamic multi-objective optimization and decision-making using modified NSGA-II: A case study on hydro-thermal power scheduling. 803--817.

3. A Spark-based Gaussian Bare-bones Cuckoo Search with dynamic parameter selection

4. A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization

5. Time-varying multi-objective smart home appliances scheduling using fuzzy adaptive dynamic SPEA2 algorithm