ADAPTIVE SELECTION OF AUXILIARY OBJECTIVES IN MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS

ADAPTIVE SELECTION OF AUXILIARY OBJECTIVES IN MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS

Subject of Research.We propose to modify the EA+RL method, which increases efficiency of evolutionary algorithms by means of auxiliary objectives. The proposed modification is compared to the existing objective selection methods on the example of travelling salesman problem. Method. In the EA+RL met...

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Bibliographic Details
Main Authors: I. A. Petrova, A. S. Buzdalova, A. A. Shalyto
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2016-05-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
evolutionary algorithm
reinforcement learning
multiobjective optimization
travelling salesman problem
Online Access:http://ntv.ifmo.ru/file/article/15505.pdf

Internet

http://ntv.ifmo.ru/file/article/15505.pdf

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