@article{1542,
  author = {Syed Hasan Adil, Saad Azhar, Aarij Hussaan, Kamran Raza},
  title = {A Cuckoo Search Optimization and Golden Section Search Based Hybridization Scheme to Solve Economic Lot Scheduling Problem Using Basic Period Approach},
  journal = {International Journal of Computational Linguistics Research},
  year = {2014},
  volume = {5},
  number = {2},
  doi = {},
  url = {http://www.dline.info/jcl/fulltext/v5n2/3.pdf},
  abstract = {In this paper we suggest a hybridization scheme to solve Economic Lot Scheduling Problem (ELSP) using basic period approach. We proposed a hybrid approach based on Cuckoo Search (CS) optimization to find the optimum value of ki’s and Golden section search with parabolic interpolation to find the optimum value of basic period T. The proposed hybridized scheme is compared with the best known Genetic Algorithm [4] on Bomberger’s dataset [1]. This hybrid approach is found competitive and efficient in solving Economic Lot Scheduling Problem and outperform the Genetic Algorithm on problems with lower machine utilization as well as higher machine utilization.},
}