Speedup vs. quality: Asynchronous and cluster-based distributed adaptive genetic algorithms for ordered problems-Reference-Cited by-同舟云学术

Speedup vs. quality: Asynchronous and cluster-based distributed adaptive genetic algorithms for ordered problems

Published:2021-06 Issue: Volume:103 Page:102755
ISSN:0167-8191
Container-title:Parallel Computing
language:en
Short-container-title:Parallel Computing

Author:

Ohira Ryoma^ORCID,Islam Md. Saiful^ORCID,Kayesh Humayun

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference33 articles.

1. R. Ohira, M.S. Islam, J. Jo, B. Stantic, LCS based diversity maintenance in adaptive genetic algorithms, in: Australasian Conference on Data Mining, AusDM, 2018, pp. 56–68.

2. GPU accelerated genetic algorithm with sequence-based clustering for ordered problems;Ohira,2020

3. A research survey: review of flexible job shop scheduling techniques;Chaudhry;Int. Trans. Oper. Res.,2016

4. Diversity in genetic programming: An analysis of measures and correlation with fitness;Burke;IEEE Trans. Evol. Comput.,2004

5. A systematic literature review of adaptive parameter control methods for evolutionary algorithms;Aleti;ACM Comput. Surv.,2016

Cited by 3 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. On the behavior of parallel island models;Applied Soft Computing;2023-11

2. Personalized Recommendation of Educational Resource Information Based on Adaptive Genetic Algorithm;International Journal of Reliability, Quality and Safety Engineering;2022-12-19

3. Real-Time Path Planning Algorithm for UAV Swarm on Complex Terrain Based on Multi-objective Particle Swarm Optimization;Proceedings of 2021 Chinese Intelligent Automation Conference;2021-10-08