[ WINTER 2022]

Shin, Jeong Hoon - Ph.D

1. A heuristic model for dynamic flexible job shop scheduling problem considering variable processing times 01.19

Kim, Hyeon Il - Ph.D

1. A two machine flow shop sequencing problem with limited waiting time constraints 01.12
2. A branch-and-bound algorithm for a two-machine flowshop scheduling problem with limited waiting time constraints 01.24

Jung, Hyun Bum - M.S

1. ACS-OPHS: ant colony system for the orienteering problem with hotel selection 01.10

Kim, Yeo Reum - M.S

1. Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learing 01.10

Sim, Dong Gi - M.S

1. A genetic programming learning approach to generate dispatching rules for flexible shop scheduling problems 01.17

Li, Xue Bin - M.S

1. Configuration design in scalable reconfigurable manufacturing systems (RMS); a case of single-product flow line (SPFL) 01.17

Jung, Hyun Bum - M.S

1. An iterated local search algorithm for the team orienteering problem with variable profits 01.24

Sim, Dong Gi - M.S

1. Surrogate-assisted Genetic Programming with Simplified Models for Automated Design of Dispatching Rules 02.07

Li, Xue Bin - M.S

1. Configuration design of scalable reconfigurable manufacturing systems for part family 02.07

Kim, Yeo Reum - M.S

1. Learning dispatching rules for single machine scheduling with dynamic arrivals based on decision trees and feature construction 02.09
2. A Genetic Programming-Based Scheduling Approach for Hybrid Flow Shop With a Batch Processor and Waiting Time Constraint 02.14

Jung, Hyun Bum - M.S

1. Well tuned algorithms for the Team Orienteering Problem with Time Windows 02.14

Li, Xue Bin - M.S

1. Reconfigurability in cellular manufacturing systems: a design model and multi-scenario analysis 02.21

Sim, Dong Gi - M.S

1. Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem 02.21