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Discrete Optimization Algorithm Based on Probability Distribution with Transformation of Target Values

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發表在:Programming and Computer Software vol. 50, no. 6 (Dec 2024), p. 445
主要作者: Sarin, K. S.
出版:
Springer Nature B.V.
主題:
Design
Algorithms
Probability
Integer programming
Embedded systems
Methods
Optimization algorithms
Genetic algorithms
Efficiency
Optimization
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Resumen: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.
ISSN:0361-7688
1608-3261
DOI:10.1134/S0361768824700312
Fuente:Advanced Technologies & Aerospace Database