PSO-based harmony search algorithm to aggregate production planning under possibilistic environment

Abstract

This paper develops particle swarm optimisation based harmony search algorithm (PSO-HSA), a non-traditional optimisation technique to find globally optimised solutions more efficiently. PSO-HSA is developed on the structure of HSA and the concept of PSO is used to modify the improvisation process. The aim of PSO-HSA is to incorporate multiple improvisation methods as well as the complete utilisation of all the possible solution sets in improvisation steps. In addition, the complexity of predefinition for various algorithm parameters is reduced significantly. Again, this paper demonstrates possibilistic environment based multi-product, multi-period aggregate production planning with triangular possibility to handle all the imprecise parameters. The strategy is to minimise the most possible value of the imprecise total costs, maximise the possibility of obtaining lower total costs and minimise the risk of obtaining higher total costs simultaneously with weighted average aggregation. HSA and FBGA are also employed here to analyse the performance of PSO-HSA approach.