A Survey on Metaheuristics for Solving Large Scale Optimization Problems

Atinesh Singh, Nanda Dulal
2017 International Journal of Computer Applications  
In recent years, there has been a remarkable improvement in the computing power of computers. As a result, numerous realworld optimization problems in science and engineering, possessing very high dimensions, have appeared. In the research community, they are generally labeled as Large Scale Global Optimization (LSGO) problems. Several Metaheuristics has been proposed to tackle these problems. Broadly these algorithms can be categorized in 3 groups: Standard Evolutionary Algorithms, Cooperative
more » ... Co-evolution (CC) based Evolutionary Algorithms and Memetic Algorithms. This paper gives a brief introduction of some state-of-the-art Metaheuristics used in the field of LSGO, discusses their performance in CEC Competition on LSGO and finally, future scope in this field is presented.
doi:10.5120/ijca2017914839 fatcat:2lhciqf4lbgetpyeouf5xykps4