Abstract
A discrete Self Organising Migrating Algorithm (DSOAM) is described in this chapter. This variant is specifically designed for the permutative based combinatorial optimisation problem, where the problem domain in generally NP-Hard. Specific sampling between individuals in the search space is introduced as a means of constructing new feasible individuals. These feasible solutions are improved using 2-Opt routines. DSOMA has proven successful in solving manufacturing scheduling and assignment problems.
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Acknowledgments
The following grants are acknowledged for the financial support provided for this research: Grant Agency of the Czech Republic—GACR P103/15/06700S, VSB SGS grants of SP2015/141 and SP2015/142, research project NPU I No. MSMT-7778/2014 by the Ministry of Education of the Czech Republic, European Regional Development Fund under the Project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089 and partially by the Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2015/057.
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Davendra, D., Zelinka, I., Pluhacek, M., Senkerik, R. (2016). DSOMA—Discrete Self Organising Migrating Algorithm. In: Davendra, D., Zelinka, I. (eds) Self-Organizing Migrating Algorithm. Studies in Computational Intelligence, vol 626. Springer, Cham. https://doi.org/10.1007/978-3-319-28161-2_2
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DOI: https://doi.org/10.1007/978-3-319-28161-2_2
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