Search
Abstract
This paper presents a method based on a population in which the parameters of individuals can be processed by operators from various population-based algorithms. The mechanism of selecting operators is based on the introduction of an additional binary parameters vector located in each individual, on the basis of which it is decided which operators are to be used to modify individuals’ parameters. Thus, in the proposed approach, many operators can be used simultaneously for this purpose. As part of the paper various methods of initializing binary parameters, various population sizes, and their impact on the operation of the algorithm were tested. The simulation was carried out on a wellknown set of benchmark functions.
Authors (4)
-
Krystian Łapa Dr hab. inż. Krystian Łapa, prof. PCz
-
Krzysztof Cpałka prof. dr hab. inż.
-
Wang Lipo Associate Professor
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Łapa K., Cpałka K., Niksa-Rynkiewicz T., Lipo W.: A Population-Based Method with Selection of a Search Operator// Artificial Intelligence and Soft Computing/ : , 2020, s.429-444
- Verified by:
- Gdańsk University of Technology
seen 127 times
Recommended for you
Comparison of reproduction strategies in genetic algorithm approach to graph searching
- Ł. Wrona,
- B. Jaworski