Implementing Self-Organizing Migrating Algorithm for Optimization Functions
Explore the implementation of the Self-Organizing Migrating Algorithm (SOMA) to find optimal solutions for optimization functions. Follow a task to apply SOMA with specific parameters and visualize the search process in 3D or using a heat map. Engage with Ing. Lenka Skanderov, Ph.D., for further details on this biologically inspired algorithm exercise.
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Presentation Transcript
Biologically inspired algorithms Exercise 7 Ing. Lenka Skanderov , Ph. D. 29/05/25 1 text
Content Self-organizing migrating algorithm (SOMA) text 29/05/25 2
Task Implement SOMA AllToOne (look at presentation of prof. Zelinka 09c BIA Algorithms.pptx) Use SOMA to find out the optimal solution of the optimization functions ???_???? = 20 ??? = 0.4 ??? ????? = 3.0 Step = 0.11 ?_??? = 100 Visualize the process of search (in 3D or using heat map) text 29/05/25 3
Thank you for your attention Ing. Lenka Skanderov , Ph.D. EA 407 +420 597 325 967 lenka.skanderova@vsb.cz homel.vsb.cz/~ska206 text 29/05/25 4
