A new discrete particle swarm optimization approach for the single-machine total weighted tardiness scheduling problem with sequence-dependent setup times

Author:

Anghinolfi Davide,Paolucci Massimo

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference39 articles.

1. Swarm intelligence: Foundations, perspectives and applications;Abraham,2006

2. A PSO and a Tabu search heuristics for the assembly scheduling problem of the two-stage distributed database application;Allahverdi;Computers & Operations Research,2006

3. Parallel machine total tardiness scheduling with a new hybrid metaheuristic approach;Anghinolfi;Computers & Operations Research,2007

4. Anghinolfi, D., Paolucci, M., in press. A new ant colony optimization approach for the single machine total weighted tardiness scheduling problem. International Journal of Operations Research.

5. Genetic algorithm and random keys for sequencing and optimization;Bean;ORSA Journal on Computing,1994

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