Improvement of evolutionary algorithm based on schema exploiter
Abstract
Stochastic Schemata Exploiter (SSE) is one of the evolutionary optimization algorithms for solving the combinatorial optimization problems. We present the Extended SSE (ESSE) algorithm which is composed of the original SSE and new ESSE operations. The ESSE is compared with the original SSE, simple genetic algorithm (SGA), and GA with Minimal Generation Gap (MGG) in some test problems in order to discuss its features.
Keywords
Genetic Algorithm (GA), Stochastic Schemata Exploiter (SSE), Extended SSE (ESSE), Minimal Generation Gap (MGG),References
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Published
Jul 22, 2022
How to Cite
MARUYAMA, Takashi; KITA, Eisuke.
Improvement of evolutionary algorithm based on schema exploiter.
Computer Assisted Methods in Engineering and Science, [S.l.], v. 15, n. 2, p. 85-98, july 2022.
ISSN 2956-5839.
Available at: <https://cames.ippt.gov.pl/index.php/cames/article/view/749>. Date accessed: 13 nov. 2024.
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