Application of Stochastic Optimization Methodology to Bioinformatics -- A Case Study on Applying Ant Colony Optimization to the Shortest Superstring problem
碩士 === 國立臺北科技大學 === 工業工程與管理研究所 === 95 === Bioinformatics has received wide attention in recent years. It is interesting to see how stochastic optimization methodologies such as genetic algorithm, simulated annealing and ant colony optimization, that can be applied to solve problems in bioinformatics...
Main Authors: | Pei-Chen Lee, 李佩真 |
---|---|
Other Authors: | Chienwen Wu |
Format: | Others |
Language: | zh-TW |
Published: |
2007
|
Online Access: | http://ndltd.ncl.edu.tw/handle/8cc5d6 |
Similar Items
-
ANT COLONY OPTIMIZATION PARAMETER SELECTION FOR SHORTEST PATH PROBLEM
by: N. Zarrinpanjeh, et al.
Published: (2020-08-01) -
GREEDY SHORTEST SUPERSTRING WITH DELAYED RANDOM CHOICE
by: Mutaz Rasmi Abu Sara, Dr., et al.
Published: (2020-05-01) -
Applying Ant Colony Optimization in Solving Vehicle Routing Problem with Stochastic Travel Times
by: Ying-chen Su, et al.
Published: (2016) -
Ant colony optimization applied to the pickup and delivery problem
by: Doerner, Karl, et al.
Published: (2000) -
Apply Ant Colony Optimization to Dynamic Scheduling Systems
by: Li-wei Lee, et al.
Published: (2007)