Title :
A time constrained scheduling method based on dynamic combination of genetic algorithm and ant algorithm
Author :
Li, Guangshun ; Wu, Junhua ; Huang, Baogui ; Ma, Guangsheng
Author_Institution :
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin
Abstract :
A time constrained scheduling (TCS) method based on dynamic combination of genetic algorithm (GA) and ant algorithm (AA) is proposed in this paper. For RCS problem, chromosome encoding, crossover, mutation and fitness function of GA are defined first, and then the initial pheromone distribution and pheromone updating rule of AA are given. Dynamic switching condition from GA to AA for TCS is also presented finally. Experimental data for TCS indicate that the average resource number needed and average execution time of our method are less than GA and AA respectively.
Keywords :
encoding; genetic algorithms; scheduling; RCS problem; ant algorithm; chromosome encoding; dynamic switching; genetic algorithm; pheromone distribution; pheromone updating rule; time constrained scheduling; Algorithm design and analysis; Computer science; Constraint theory; Dynamic scheduling; Educational institutions; Genetic algorithms; Genetic engineering; Processor scheduling; Scheduling algorithm; Time factors; Max-Min ant system; dynamic switching; genetic algorithm; time constrained scheduling;
Conference_Titel :
Microelectronics, 2007. ICM 2007. Internatonal Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-1846-6
Electronic_ISBN :
978-1-4244-1847-3
DOI :
10.1109/ICM.2007.4497675
