Optimization of economic lot scheduling problem with backordering and shelf-life considerations using calibrated metaheuristic algorithms
Research output: Contribution to journal › Article
- University of Malaya
namely genetic algorithm (GA), particle swarm optimization (PSO), simulated
annealing (SA), and artificial bee colony (ABC). Furthermore, to make the algorithms more effective, Taguchi method is employed to tune various parameters of the proposed algorithms.
The computational performance and statistical optimization results show the effectiveness and superiority of the metaheuristic algorithms over other reported methods in the literature.
|Number of pages||19|
|Journal||Applied Mathematics and Computation|
|Publication status||Published - 2015|
|MoE publication type||A1 Journal article-refereed|
- Economic lot scheduling problem, Genetic algorithm, Particle swarm optimization, Simulated annealing, Artificial bee colony, Taguchi