A Phoenix++ Based New Genetic Algorithm Involving Mechanism of Simulated Annealing
Genetic algorithm is easy to fall into local optimal solution. Simulated annealing algorithm may accept nonoptimal solution at a certain probability to jump out of local optimal solution. On the other hand, lack of communication among genes in MapReduce platform based genetic algorithm, the high-per...
Saved in:
Main Authors: | Luokai Hu, Jin Liu, Chao Liang, Fuchuan Ni, Hang Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2015-08-01
|
Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2015/806708 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Genetic Simulated Annealing Algorithm to Optimize the Small-World Network Generating Process
by: Haifeng Du, et al.
Published: (2018-01-01) -
Multipass Turning Operation Process Optimization Using Hybrid Genetic Simulated Annealing Algorithm
by: Abdelouahhab Jabri, et al.
Published: (2017-01-01) -
Parrett's type models in simulated annealing algorithms
by: Gražvydas Felinskas, et al.
Published: (2003-12-01) -
A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems
by: Da-Wei Jin, et al.
Published: (2013-01-01) -
Optimization of Cultural and Creative Product Design Based on Simulated Annealing Algorithm
by: Xianzhe Meng
Published: (2021-01-01)