Download
-
Downloadable Journal Papers
-
Source code
- Genetic Algorithm (OpenGA 3)
- Sub-Population Genetic Algorithm (SPGA)
- Simulated Annealing (OpenSA)
- Particle Swarm Optimizer (OpenPSO)
- A hybrid electromagnetism-like algorithm for single machine scheduling problem
-
Test Data Set and Experimental Results
- Latest results of Self-Guided GA and eACGA for the Taillard flowshop instances (2012/3/30)
- Full Results of Convergency Analysis
- A real case flowshop scheduling problems: Chip Resistor
- Full Results of Single Machine Scheduling with the minization of and the introduction of ACGA (Artificial Chromosome with Genetic Algortihm)
- Single Machine Scheduling: Genetic Algorithm with Dominance Properties
- Single Machine Scheduling Problem with Job Dependent Penalties: Genetic Algorithm with Dominance Properties
- Parallel Machine (Pareto result, Jobs/Machines: 35/10, 50/15, 65/18, Experimental Result)
- Flow shop (From Prof. Ishibuchi )
- NSGA-II, SPEA II, and MOEA/D solves 2-obj and 3-obj Flow shop problems (2011.3.23 Updated)
- Single Machine Scheduling with Dynamic Arrival Time (2015/5/21)
- The mTSP best found empirical results (2015/5/22)
Others
