Ensemble Population Based Discrete Harmony Search Algorithm For The Job Shop Scheduling Problem

Lubos Matejcik, Donald David Davendra · 2015

A novel ensemble population based Harmony Search (HS) algorithm based on different operating parameters is proposed in this paper. A sub-population based HS based on differing scaled pitch adjusting rate and bandwidth is devised, with the objective of searching different search space in the fitness landscape. The algorithm is tested on the job shop scheduling problem and favourably compared with the reported optimal values in literature.

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