Proposal of a New Test Problem for Large-Scale Multi- and Many-Objective Optimization-Reference-Cited by-同舟云学术

Proposal of a New Test Problem for Large-Scale Multi- and Many-Objective Optimization

Published:2021-10-17 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Pang Lie Meng¹,Shang Ke¹,Chen Longcan¹,Ishibuchi Hisao¹,Chen Weiyu¹

Affiliation:

1. Southern University of Science and Technology,Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation,Department of Computer Science and Engineering,Shenzhen,China,518055

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9658572/9658575/09659260.pdf?arnumber=9659260

Reference30 articles.

1. Many-Objective Evolutionary Algorithm With Reference Point-Based Fuzzy Correlation Entropy for Energy-Efficient Job Shop Scheduling With Limited Workers

2. Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation

3. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results

4. Scalable Test Problems for Evolutionary Multiobjective Optimization

5. A review of multiobjective test problems and a scalable test problem toolkit

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1. Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto Sets;2022 IEEE Congress on Evolutionary Computation (CEC);2022-07-18

2. Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition;IEEE Transactions on Cybernetics;2022