NNMA: An effective memetic algorithm for solving multiobjective permutation flow shop scheduling problems

Author:

Chiang Tsung-Che,Cheng Hsueh-Chien,Fu Li-Chen

Funder

National Science Council of Republic of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference39 articles.

1. A partial enumeration heuristic for multi-objective flowshop scheduling problems;Arroyo;Journal of the Operational Research Society,2004

2. Genetic local search for multi-objective flowshop scheduling problems;Arroyo;European Journal of Operational Research,2005

3. Pareto-optimal solutions for multi-objective production scheduling problems;Bagchi,2001

4. A multi-phase covering Pareto-optimal front method to multi-objective scheduling in a realistic hybrid flowshop using a hybrid metaheuristic;Behnamian;Expert Systems with Applications,2009

5. Hybrid genetic algorithms for a multiple-objective scheduling problem;Cavalieri;Journal of Intelligent Manufacturing,1998

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