High performance ant colony system based on GPU warp specialization with a static–dynamic balanced candidate set strategy-Reference-Cited by-同舟云学术

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High performance ant colony system based on GPU warp specialization with a static–dynamic balanced candidate set strategy

Published:2021-12 Issue: Volume:125 Page:136-150
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Huang Zhi-bin^ORCID,Fu Guang-Tao,Fa Tian-Hao,Dong Dan-Yang,Bai Peng,Xiao Chen

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference37 articles.

1. The ant system: An autocatalytic optimizing process;Dorigo,1991

2. MAX–MIN ant system;Stützle;Future Gener. Comput. Syst.,2000

3. Implementing a GPU-based parallel MAX–MIN ant system;Skinderowicz;Future Gener. Comput. Syst.,2020

4. Ant colony system: a cooperative learning approach to the traveling salesman problem;Dorigo;IEEE Trans. Evol. Comput.,1997

5. The GPU-based parallel ant colony system;Skinderowicz;J. Parallel Distrib. Comput.,2016

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1. Multi-GPU Accelerating Strategies of Ant Colony Optimization Algorithms Using Rank Based and Strong Elitist Versions;2023 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW);2023-10-17

2. Multi-ant colony optimization algorithm based on finite history archiving and boxed pigs game;Applied Soft Computing;2023-05

3. Modeling Theory Based on the Formal-Constructive Interpretation of the Model;Lecture Notes in Networks and Systems;2021

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