Artificial chromosomes with genetic algorithm 2 (ACGA2) for single machine scheduling problems with sequence-dependent setup times

Author:

Chen Shih-Hsin,Chen Min-Chih,Liou Yeong-Cheng

Publisher

Elsevier BV

Subject

Software

Reference41 articles.

1. Genetic algorithm integrated with artificial chromosomes for multi-objective flowshop scheduling problems;Chang;Applied Mathematics and Computation,2008

2. Mining gene structures to inject artificial chromosomes for genetic algorithm in single machine scheduling problems;Chang;Applied Soft Computing Journal,2008

3. Artificial chromosomes embedded in genetic algorithm for a chip resistor scheduling problem in minimizing the makespan;Chang;Expert Systems with Applications,2009

4. An Empirical Comparison of Seven Iterative and Evolutionary Function Optimization Heuristics, Technical Report CMU-CS-95-193;Baluja,1995

5. The compact genetic algorithm;Harik;IEEE Transactions on Evolutionary Computation,1999

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