A construction method for large scale global optimization problem

Hao Chen; Yuan Chen; Chunlei Xu

doi:10.1117/12.2505031

23 January 2019 A construction method for large scale global optimization problem

Hao Chen, Yuan Chen, Chunlei Xu

Proceedings Volume 10835, Global Intelligence Industry Conference (GIIC 2018); 1083505 (2019) https://doi.org/10.1117/12.2505031
Event: Global Intelligent Industry Conference 2018, 2018, Beijing, China

Abstract

Large scale global optimization problems are closely related to real-life; however, the existing test function sets for large scale optimization problems can not truly reflect the complexity of the actual optimization problem. This paper presents a method for constructing test function sets, it can generate complex test function with different correlation, different deception and different difficulty of solving by adjusting the key parameters such as encoding length, number of groups, equipartition, continuity and the upper and lower limits of the dimensions within the group, it can be controlled by correlation, deception and continuity among dimensions. Using the existing metric correlation index verified the validity of the new construction test functions, and it can effectively simulate the incompletely separable optimization problem with different complexity.

Citation Download Citation

Hao Chen, Yuan Chen, and Chunlei Xu "A construction method for large scale global optimization problem", Proc. SPIE 10835, Global Intelligence Industry Conference (GIIC 2018), 1083505 (23 January 2019); https://doi.org/10.1117/12.2505031

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available