setyotw
PhD student at UNSW | Operational researcher and optimization specialist
University of New South WalesCanberra, Australia
Pinned Repositories
Catanzaro2015_UniformSSP_JuMP
A code for solving a case of job sequencing and tool switching problem (SSP) with uniform setup time, using a mathematical formulation from Catanzaro, Gouviea, and Labbe (2015). Written in Julia and JuMP, solved with Gurobi.
daSilva2020_UniformSSP_JuMP
A code for solving a case of job sequencing and tool switching problem (SSP) with uniform setup time, using a multicommodity flow formulation from da Silva, Chaves, and Yanasse (2020). Written in Julia and JuMP, solved with Gurobi.
DFJ_Formulation_TSP_Pyomo
An implementation of Dantzig-Fulkerson-Johnson formulation for traveling salesman problem, written in Pyomo and solved with Gurobi.
EVDRP_instances
Dataset of problem instances for electric vehicle-drone routing problem, used in Mara et al. (2023).
GeneticAlgorithm_TSP_Julia
A simple genetic algorithm for solving traveling salesman problem
Laporte2004_UniformSSP_JuMP
A code for solving a case of job sequencing and tool switching problem (SSP) with uniform setup time, using a mathematical formulation from Laporte, Salazar-Gonzales, and Semet (2004). Written in Julia and JuMP, solved with Gurobi.
MTZ_Formulation_TSP_Pyomo
An implementation of Miller-Tucker-Zemlin formulation for traveling salesman problem, written in Pyomo and solved with Gurobi.
SequenceDependent_SSP_Instances
Dataset of problem instances for job sequencing and tool switching problem with sequence-dependent setup times, used in Mara et al. (2021) and Rifai et al. (2022).
SimulatedAnnealing_TSP_Python
A simple simulated annealing algorithm with three different neighborhood moves for solving traveling salesman problem
VRPTWD_instances
Dataset of problem instances for vehicle routing problem with drones and time windows, used in Kuo et al. (2022).
setyotw's Repositories
setyotw/VRPTWD_instances
Dataset of problem instances for vehicle routing problem with drones and time windows, used in Kuo et al. (2022).
setyotw/DFJ_Formulation_TSP_Pyomo
An implementation of Dantzig-Fulkerson-Johnson formulation for traveling salesman problem, written in Pyomo and solved with Gurobi.
setyotw/MTZ_Formulation_TSP_Pyomo
An implementation of Miller-Tucker-Zemlin formulation for traveling salesman problem, written in Pyomo and solved with Gurobi.
setyotw/Catanzaro2015_UniformSSP_JuMP
A code for solving a case of job sequencing and tool switching problem (SSP) with uniform setup time, using a mathematical formulation from Catanzaro, Gouviea, and Labbe (2015). Written in Julia and JuMP, solved with Gurobi.
setyotw/daSilva2020_UniformSSP_JuMP
A code for solving a case of job sequencing and tool switching problem (SSP) with uniform setup time, using a multicommodity flow formulation from da Silva, Chaves, and Yanasse (2020). Written in Julia and JuMP, solved with Gurobi.
setyotw/EVDRP_instances
Dataset of problem instances for electric vehicle-drone routing problem, used in Mara et al. (2023).
setyotw/GeneticAlgorithm_TSP_Julia
A simple genetic algorithm for solving traveling salesman problem
setyotw/Laporte2004_UniformSSP_JuMP
A code for solving a case of job sequencing and tool switching problem (SSP) with uniform setup time, using a mathematical formulation from Laporte, Salazar-Gonzales, and Semet (2004). Written in Julia and JuMP, solved with Gurobi.
setyotw/SequenceDependent_SSP_Instances
Dataset of problem instances for job sequencing and tool switching problem with sequence-dependent setup times, used in Mara et al. (2021) and Rifai et al. (2022).
setyotw/SimulatedAnnealing_TSP_Python
A simple simulated annealing algorithm with three different neighborhood moves for solving traveling salesman problem
setyotw/TangDenardo1988_UniformSSP_JuMP
A code for solving a case of job sequencing and tool switching problem (SSP) with uniform setup time, using a mathematical formulation from Tang and Denardo (1988). Written in Julia and JuMP, solved with Gurobi.