Title :
No-wait flow scheduling hybrid algorithm
Author_Institution :
Sch. of Electron. & Electr. Eng., Shanghai Second Polytech. Univ., Shanghai, China
Abstract :
In this paper, a new Discrete Particle Swarm Optimization (DPSO) algorithms is introduced for bi-objective no-wait flow scheduling problem, to minimize total flow time (TFT) and maximum completion time (makespan). which makes the problem into single objective by sum of weighted and discrete for no-wait flow scheduling problem. In order to improve the optimization of PSO and increase the algorithm´s exploring ability, we can improve the performances through executing Variable Neighborhood Search. Passing through the testing experiments, this hybrid scheduling algorithms has higher superior performance.
Keywords :
flow shop scheduling; minimisation; particle swarm optimisation; search problems; DPSO algorithm; TFT; biobjective no-wait flow scheduling problem; discrete particle swarm optimization; maximum completion time; no-wait flow scheduling hybrid algorithm; total flow time; variable neighborhood search; Algorithm design and analysis; Encoding; Genetic algorithms; Optimization; Particle swarm optimization; Scheduling; Scheduling algorithm; Discrete Particle Swarm Optimization; bi-objective optimization; no-wait flow scheduling; objective weighted;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5974557