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Digital Library

of the European Council for Modelling and Simulation

 

Title:

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

Authors:

Lubos Matejcik, Donald Davendra

Published in:

 

 

(2015).ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Grisha Spasov, Petia Georgieva, Galidiya Petrova, European Council for Modeling and Simulation. doi:10.7148/2015

 

 

ISBN: 978-0-9932440-0-1

 

29th European Conference on Modelling and Simulation,

Albena (Varna), Bulgaria, May 26th – 29th, 2015

 

Citation format:

Lubos Matejcik, Donald Davendra (2015). Ensemble Population Based Discrete Harmony Search Algorithm For The Job Shop Scheduling Problem, ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova  European Council for Modeling and Simulation. doi:10.7148/2015-0412

DOI:

http://dx.doi.org/10.7148/2015-0412

Abstract:

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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