A Dynamical Ant Colony Optimization with Heuristics for Scheduling Jobs on a Single Machine with a Common Due Date View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2008

AUTHORS

Zne-Jung Lee , Shih-Wei Lin , Kuo-Ching Ying

ABSTRACT

The problem of scheduling jobs on a single machine with a common due date is one of NP-complete problems. It is to minimize the total earliness and tardiness penalties. This chapter introduces a Dynamical Ant Colony Optimization (DACO) with heuristics for scheduling jobs on a single machine with a common due date. In the proposed algorithm, the parameter of heuristic information is dynamically adjusted. Furthermore, additional heuristics are embedded into DACO as local search to escape from local optima. Compared with other existing approaches in the literature, the proposed algorithm is very useful for scheduling jobs on a single machine with a common due date. More... »

PAGES

91-103

References to SciGraph publications

Book

TITLE

Metaheuristics for Scheduling in Industrial and Manufacturing Applications

ISBN

978-3-540-78984-0
978-3-540-78985-7

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-78985-7_4

DOI

http://dx.doi.org/10.1007/978-3-540-78985-7_4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1028041240


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