Applying Simulated Annealing with Matching Improvement to Solve Fuzzy Multi-Objective Unrelated Parallel Machine Scheduling Problems
碩士 === 元智大學 === 工業工程與管理學系 === 98 === The research investigates several strategies that are incorporated into simulated annealing (SA) to solve unrelated parallel machine scheduling problems with two maximization fuzzy objectives – total completion time (makespan) satisfaction and average tardiness s...
Main Authors: | Ruei-Chi Li, 李瑞琪 |
---|---|
Other Authors: | Chiuh-Cheng Chyu |
Format: | Others |
Language: | zh-TW |
Published: |
2010
|
Online Access: | http://ndltd.ncl.edu.tw/handle/15367624230401430799 |
Similar Items
-
Solving Fuzzy Bi-Objective Unrelated Parallel Machine Scheduling Problems with Flexible Constraints on Due Dates
by: Wei-Ta Chu, et al.
Published: (2011) -
Applying Genetic Algorithm to Solve a Dual-Objective Flow Shop Scheduling Problem on Unrelated Parallel Machines
by: Hsiu-Yi Lin, et al.
Published: (2013) -
Applying Ant Colony Optimization Algorithm in Solving Unrelated Parallel Machines Scheduling Problem
by: Jian-Long Su, et al.
Published: (2005) -
Unrelated Parallel Machine Scheduling
by: HanJai Huang, et al.
Published: (1999) -
Scheduling Independent Jobs on Unrelated Parallel Machines
by: Yang, Jui-Ling, et al.
Published: (1996)