Immune-Like System Approach to Cellular Automata-Based Scheduling

Seredyński, Franciszek; Swiecicka, Anna

doi:10.1007/3-540-48086-2_69

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…The genetic algorithms (GA), genetic programming, evolution strategies, and evolutionary programming for scheduling problem are described in [8][9][10][11][12][13], and cellular automata are presented in [14][15][16][17]. Using GA to behavior in cellular automata (CA), evolutionary design of rule changing CA, and other problems are described in [18][19][20][21][22][23]. In [19] evoluation of cellular automata-based multiprocessor scheduling algorithm is created.…”

Section: Introductionmentioning

confidence: 99%

“…Using GA to behavior in cellular automata (CA), evolutionary design of rule changing CA, and other problems are described in [18][19][20][21][22][23]. In [19] evoluation of cellular automata-based multiprocessor scheduling algorithm is created. In learning mode a GA is applied to discover rules of CA suitable for solving instances of a scheduling problem.…”

Section: Introductionmentioning

confidence: 99%

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Evolving Cellular Automata - Based Flexible Job Shop Scheduling

Witkowski

Antczak

Elzway

et al. 2009

2009 Fifth International Conference on Natural Computation

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The paper presents evolving cellular automatabased scheduling production. The models have been implemented and tested, and the examples have been illustrated.. The software of this model, allows us to analyze the process of construction schedule for many variants reflecting a variety of combinations other factors. The results indicate that the proposed algorithm is an efficient approach to solve FJSP.

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