Grid Task Schedule Strategy Based on Improved Shuffled Frog Leaping Algorithm
Sun Yuan-shub · Jisuanji gongcheng · 2011
This paper proposes an improved Shuffled Frog LeapingAlgorithm(SFLA) for grid task schedule.The algorithm is based on traditional SFLA.It introduces the genetic operators to increase relative extremum disturbance to avoid falling into a local optimum,and the frog leaping strategy is optimized by learn from the particle flying experience of Particle Swarm Optimization(PSO) algorithm.Experimental results prove the strategy has better performance.It can be faster to get a high-quality optimal solution.