Fitness Landscape Approximation with Dimensionality Reduction Using Multi-dimensional Scaling-Reference-Cited by-同舟云学术

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Fitness Landscape Approximation with Dimensionality Reduction Using Multi-dimensional Scaling

Published:2023-10-01 Issue: Volume: Page:2862-2867
ISSN:
Container-title:2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Zhao Ying¹,Yu Jun²,Pei Yan³

Affiliation:

1. Graduate School of Computer Science and Engineering, University of Aizu,Aizuwakamatsu,Fukushima,Japan,965–8580

2. Institute of Science and Technology, Niigata University,Nishi-ku,Niigata,Japan,950–2181

3. University of Aizu,Computer Science Division,Aizuwakamatsu,Fukushima,Japan,965–8580

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391856/10393862/10394604.pdf?arnumber=10394604

Reference16 articles.

1. Problem definitions and evaluation criteria for the cec 2017 special session and competition on single objective bound constrained real-parameter numerical optimization;Awad,2016

2. Local Fitness Landscape Exploration Based Genetic Algorithms

3. Review of the Development of Multidimensional Scaling Methods

4. Quantum-inspired algorithm with fitness landscape approximation in reduced dimensional spaces for numerical function optimization

5. Analytical estimation of the convergence point of populations

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