Lin Lin
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Lin Lin has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Mitsuo Gen
Fuzzy Logic Systems Institute, Iizuka, Japan
3 shared publications - Fulya Altiparmak
Gazi University
1 shared publication - Hark Hwang
Korea Advanced Institute of Science and Technology
1 shared publication M. Gen
1 shared publicationMitsuo Gen
Graduate School of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0135, Japan
1 shared publicationRunwei Cheng
JANA Solutions Inc., 1-15-13 Shiba, Minato-ku, Tokyo 105-0014, Japan
1 shared publication
Latest Publications
- 30 April 2009
- Published by Elsevier in Computers & Industrial Engineering
- Vol. 56 (3) , 1137-1153
Unusual human behavior recognition using evolutionary technique
- 30 April 2009
- Published by Elsevier in Computers & Industrial Engineering
- Vol. 56 (3) , 1137-1153
Unusual human behavior recognition using evolutionary technique
- 30 May 2008
- Published by Springer Nature in Soft Computing
- Vol. 13 (2) , 157-168
Auto-tuning strategy for evolutionary algorithms: balancing between exploration and exploitation
- 30 May 2008
- Published by Springer Nature in Soft Computing
- Vol. 13 (2) , 157-168
Auto-tuning strategy for evolutionary algorithms: balancing between exploration and exploitation
- 22 September 2006
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 1089778X,p. 640-647
A Self-controlled Genetic Algorithm for Reliable Communication Network Design
This paper considers an optimization of a communication network expansion with a reliability constraint. It is one of NP-hard problems. We propose a self-controlled genetic algorithm (scGA) to all-terminal network reliability problem. This scGA adopts fuzzy logic control (FLC) to tune the probabilities of the genetic operators depending on the change of the average fitness. The numerical analysis for various scales of problems shows that the proposed approach has a higher search capability that improve quality of solution and enhanced rate of convergence.
- 22 September 2006
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 1089778X,p. 640-647
A Self-controlled Genetic Algorithm for Reliable Communication Network Design
This paper considers an optimization of a communication network expansion with a reliability constraint. It is one of NP-hard problems. We propose a self-controlled genetic algorithm (scGA) to all-terminal network reliability problem. This scGA adopts fuzzy logic control (FLC) to tune the probabilities of the genetic operators depending on the change of the average fitness. The numerical analysis for various scales of problems shows that the proposed approach has a higher search capability that improve quality of solution and enhanced rate of convergence.
- 1 August 2006
- Published by Springer Nature in Journal of Intelligent Manufacturing
- Vol. 17 (4) , 465-477
Network model and effective evolutionary approach for AGV dispatching in manufacturing system
- 1 August 2006
- Published by Springer Nature in Journal of Intelligent Manufacturing
- Vol. 17 (4) , 465-477
Network model and effective evolutionary approach for AGV dispatching in manufacturing system
- 8 February 2006
- Published by Springer Nature in OR Spectrum
- Vol. 28 (3) , 337-354
A genetic algorithm for two-stage transportation problem using priority-based encoding
- 8 February 2006
- Published by Springer Nature in OR Spectrum
- Vol. 28 (3) , 337-354
A genetic algorithm for two-stage transportation problem using priority-based encoding