A combined approach for two-agent scheduling with sum-of-processing-times-based learning effect

Keyphrases

• Learning Effect 100%
• Two-agent Scheduling 100%
• Sum-of-processing-time-based Learning 100%
• Processing Time 66%
• Genetic Algorithm 33%
• Two-agent 33%
• Decreasing Function 33%
• Release Time 33%
• Approximate Solution 33%
• Optimal Schedule 33%
• Job Release 33%
• Tardy Jobs 33%
• Total Weighted Completion Time 33%
• Scheduling Model 33%
• Simulated Annealing 33%
• Branch-and-bound Method 33%
• Computational Testing 33%

Mathematics

• Decreasing Function 100%
• Minimizes 100%
• Approximate Solution 100%
• Genetic Algorithm 100%