Literature Review: Evolution Strategies Application in Solving Multi-Objective Optimization-Reference-Cited by-同舟云学术

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Literature Review: Evolution Strategies Application in Solving Multi-Objective Optimization

Published:2021-10-06 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 7th Information Technology International Seminar (ITIS)
language:
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Author:

Sihananto Andreas Nugroho¹,Mas Diyasa I Gede Susrama¹,Fauzi Akhmad²

Affiliation:

1. Universitas Pembangunan Nasional “Veteran” Jawa Timur,Faculty of Computer Science,Department of Informatics,Surabaya,Indonesia

2. Universitas Pembangunan Nasional “Veteran” Jawa Timur,Faculty of Computer Science,Department of Information System,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9791461/9791493/09791737.pdf?arnumber=9791737

Reference30 articles.

1. Multi-Objective Optimal Reactive Power Dispatch of Power Systems by Combining Classification-Based Multi-Objective Evolutionary Algorithm and Integrated Decision Making

2. A Matrix Adaptation Evolution Strategy Based Evolution Algorithm for Large-scale Many-objective Optimization

3. Optimization of Broiler Chicken Feed Mix Using Evolution Strategies;sihananto;J Telecommun Electron Comput Eng,0

4. Rule Optimization of Fuzzy Inference System Sugeno using Evolution Strategy for Electricity Consumption Forecasting

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Food Optimizing for Patients with Kidney Failure Using Evolution Strategies Algorithm;2023 IEEE 9th Information Technology International Seminar (ITIS);2023-10-18

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