Energy loss optimization of run-off-road wheels applying imperialist competitive algorithm  

作　　者：Hamid Taghavifar Aref Mardani 

机构地区：[1]Department of Mechanical Engineering of Agricultural Machinery,Faculty of Agriculture,Urmia University,Urmia,Iran

出　　处：《Information Processing in Agriculture》2014年第1期57-65,共9页农业信息处理（英文）

摘　　要：The novel imperialist competitive algorithm(ICA)has presented outstanding fitness on various optimization problems.Application of meta-heuristics has been a dynamic studying interest of the reliability optimization to determine idleness and reliability constituents.The application of a meta-heuristic evolutionary optimization method,imperialist competitive algorithm(ICA),for minimization of energy loss due to wheel rolling resistance in a soil bin facility equipped with single-wheel tester is discussed.The required data were collected thorough various designed experiments in the controlled soil bin environment.Local and global searching of the search space proposed that the energy loss could be reduced to the minimum amount of 15.46 J at the optimized input variable configuration of wheel load at 1.2 kN,tire inflation pressure of 296 kPa and velocity of 2 m/s.Meanwhile,genetic algorithm(GA),particle swarm optimization(PSO)and hybridized GA–PSO approaches were benchmarked among the broad spectrum of meta-heuristics to find the outperforming approach.It was deduced that,on account of the obtained results,ICA can achieve optimum configuration with superior accuracy in less required computational time.

关 键 词：Imperialist competitive algorithm Genetic algorithm Particle swarm optimization Energy loss Soil bin 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]