A graphical processing unit‐based parallel hybrid genetic algorithm for resource‐constrained multi‐project scheduling problem-Reference-Cited by-同舟云学术

A graphical processing unit‐based parallel hybrid genetic algorithm for resource‐constrained multi‐project scheduling problem

Published:2021-03-16 Issue:16 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Uysal Furkan¹^ORCID,Sonmez Rifat²,Isleyen Selcuk Kursat³

Affiliation:

1. Graduate School of Social Sciences Ankara Social Sciences University Ankara Turkey

2. Civil Engineering Department Middle East Technical University Ankara Turkey

3. Industrial Engineering Department Gazi University Ankara Turkey

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6266

Reference37 articles.

1. Accelerating genetic algorithms with GPU computing: A selective overview

2. Efficient parallel genetic algorithms: theory and practice

3. BethkeAD.Comparison of genetic algorithms and gradient based optimizers on parallel processors: efficiency of use of processing capacity. The University of Michigan Technical Report1976;197.

4. Parallel Genetic Algorithms for Optimizing Resource Utilization in Large-Scale Construction Projects

5. LuebkeD.CUDA: scalable parallel programming for high‐performance scientific computing. Paper presented at: 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; Paris. 2008:836‐838.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Green artificial intelligence for cost-duration variance prediction (CDVP) for irrigation canals rehabilitation projects;Expert Systems with Applications;2024-09

2. Multi-project scheduling under uncertainty and resource flexibility: a systematic literature review;Production & Manufacturing Research;2024-02-21

3. Multi-subpopulation parallel computing genetic algorithm for the semiconductor packaging scheduling problem with auxiliary resource constraints;Applied Soft Computing;2023-07

4. GWMA: the parallel implementation of woodpecker mating algorithm on the GPU;Journal of the Chinese Institute of Engineers;2022-06-13

5. A graphical processing unit‐based parallel hybrid genetic algorithm for resource‐constrained multi‐project scheduling problem;Concurrency and Computation: Practice and Experience;2021-03-16