This doctoral thesis summary describes the author’s research in the area
of adaptive Differential Evolution variants for small–scale continuous single–
objective optimization. The first part describes the topic of mathematical
optimization and lists various problem domains according to the problem characteristics. It also describes the area of metaheuristic optimization and Evolutionary Computation Techniques.
The Differential Evolution algorithm variants and control parameter adaptivity
are described in the next part of this work and it also provides the justification
of selecting Success–History based Adaptive Differential Evolution algorithm
as a basis for author’s research focus.
A novel population dynamic analysis tool is proposed in the experimental part.
This tool can be used for the development process of new metaheuristic techniques as well as for the analysis of the state-of-the-art methods.
The experimental part also provides the proposal of multi–chaotic framework
for parent selection for the Differential Evolution based algorithms and Distance based parameter adaptation, which can be implemented into adaptive
variants of Differential Evolution algorithm to improve the balance between
exploration and exploitation. The benefits of using Distance based parameter
adaptation are shown on the improved jSO algorithm - DISH. The performance
of both versions (jSO and DISH) is compared on the basis of Congress on Evolutionary Computation benchmark sets and shows that the DISH variant is
more suitable for optimization problems of a larger scale.
The practical use of the DISH algorithm is demonstrated on the operations
research problem of finding optimal dislocation of waste–to–energy facilities in
the Czech Republic.
Through the above–mentioned results, it can be seen that even simple changes
in algorithms’ inner dynamic can lead to significant improvements. Therefore,
the research area of adaptive metaheuristics for optimization can benefit from
knowledge gained through thorough algorithm analysis, which is the author’s
chosen research direction for the future.
| ISBN: | 978-80-7678-037-8 |
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| EAN: | 9788076780378 |
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| Počet stran |
42 stran |
| Datum vydání |
19. 10. 2021 |
| Pořadí vydání |
První |
| Jazyk |
anglický |
| Vazba |
e-kniha - pdf |
| Autor: |
Adam Viktorin |
| Nakladatelství |
Univerzita Tomáše Bati ve Zlíně |
| Tématická skupina |
999 - nezařazeno |
| Neprodejná publikace. Publikaci je možné poptávat zde: Volně dostupné na http://hdl.handle.net/10563/50070 |
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Svaz českých knihkupců a nakladatelů