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Keyphrases
Processing Time
44%
Single Machine
40%
Scheduling Problem
25%
Makespan
18%
Total Completion Time
17%
Release Dates
17%
Deteriorating Jobs
16%
Parallel Batch Machines
14%
Due Date
14%
Strong NP-hardness
13%
Single Machine Scheduling
13%
NP-hard
11%
FPTAS
11%
Online Algorithms
11%
Parallel-batch Scheduling
11%
Competitive Ratio
10%
Job Processing
10%
Polynomial-time Algorithm
9%
Setup Time
9%
Total Weighted Completion Time
9%
Time Algorithm
9%
Maximum Lateness
9%
Total Late Work
8%
Batch Scheduling
8%
Polynomial Time
8%
Makespan Minimization
8%
Weighted number of Tardy Jobs
7%
Supply Chain
7%
Number of Tardy Jobs
7%
Pareto-scheduling
6%
Pseudo-polynomial Time Algorithm
6%
Batch Processing Machine
6%
Approximation Algorithms
6%
Common Due Date
6%
Preemption
6%
Online Scheduling
6%
Scheduling Jobs
6%
Computational Complexity
6%
Precedence Constraints
5%
Completion Time Variance
5%
Two-machine Flow Shop
5%
Total Tardiness
5%
Starting Time
5%
Demand Uncertainty
5%
Due Date Assignment
5%
Dynamic Programming Algorithm
5%
Pseudo-polynomial Time
5%
Mathematics
Minimizes
100%
Single Machine
65%
Polynomial Time
47%
Competitive Ratio
14%
Fully Polynomial-Time Approximation Scheme
13%
Integer
11%
Objective Function
10%
Heuristic Algorithm
8%
Polynomial
7%
Worst Case
7%
Increasing Function
7%
Edge
7%
Dynamic Programming
7%
Linear Function
6%
Upper Bound
6%
Variance
6%
Independent Sequence
5%
Computer Science
Processing Time
29%
Scheduling Problem
26%
Single Machine
20%
Completion Time
16%
Polynomial Time
16%
Batch Scheduling
13%
on-line algorithm
10%
Competitive Ratio
10%
polynomial-time algorithm
10%
Fully Polynomial-Time Approximation Scheme
9%
Approximation Algorithms
8%
Objective Function
7%
Supply Chain
7%
Job Scheduling
7%
Optimization Problem
5%
Parallel Machine
5%
Time Approximation Scheme
5%
Precedence Constraint
5%
Computational Complexity
5%
Dynamic Programming Algorithm
5%
