Web Service Selection for Gravitation Search Algorithm
YUAN Bo
MA Li
Abstract：Focusing on the problems of the traditional optimization algorithm can not solve the problem of high dimension search space optimization. An improved gravitational search algorithm is proposed,which combines the gravitational search algo?rithm with the particle swarm optimization algorithm. Through the operation of the boundary and the new search space Activate the stagnant particles,so that the particles jump out of the local area,to find the optimal solution. The experimental results show that with the increase of the number of iterations,the proposed algorithm has better performance than traditional heuristic optimization al?gorithm.
Keywords：gravitational algorithmquality of serviceparticle swarm optimizationmulti-objective optimization
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 289-295 )