Discrete Optimization Algorithm Based on Probability Distribution with Transformation of Target Values
محفوظ في:
| الحاوية / القاعدة: | Programming and Computer Software vol. 50, no. 6 (Dec 2024), p. 445 |
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| المؤلف الرئيسي: | |
| منشور في: |
Springer Nature B.V.
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| الموضوعات: | |
| الوصول للمادة أونلاين: | Citation/Abstract Full Text Full Text - PDF |
| الوسوم: |
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| مستخلص: | Problems of search optimization in a discrete space, particularly, in a binary space where a variable can take only two values, are of great practical importance. This paper proposes a new population-based discrete optimization algorithm that uses probability distributions of variables. The distributions determine the probability of taking one or another discrete value and are generated by transforming target values of solutions into their weight coefficients. The performance of the algorithm is evaluated using unimodal and multimodal test functions with binary variables. The experimental results demonstrate the high efficiency of the proposed algorithm in terms of convergence rate and stability. |
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| تدمد: | 0361-7688 1608-3261 |
| DOI: | 10.1134/S0361768824700312 |
| المصدر: | Advanced Technologies & Aerospace Database |