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- W818783604 abstract "The paper presents two relatively new algorithms used for optimization without limitations of single– or multi–variable functions. The algorithms are: the differential evolution and the particle swarm optimization. The paper presents the characteristic features of the two algorithms and provides vital information about their functioning. Moreover, the paper describes methods used to estimate the effectiveness of the algorithms. The comparison of efficiency was conducted on the basis of several specially–selected test functions. The functions may be found in [5]. The optimum point is known for these functions. For each of the function, numerous optimizations using various sequences of pseudorandom numbers were conducted [1]. The examination results for a few test function are presented and the effectiveness of the tested methods is discussed. Algorithm of the differential evolution method is more reliable than the particle swarm method because the latter is often ineffective with multi– variable functions." @default.
- W818783604 created "2016-06-24" @default.
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- W818783604 date "2011-01-01" @default.
- W818783604 modified "2023-09-23" @default.
- W818783604 title "Porównanie skuteczności wybranych dwu metod optymalizacji" @default.
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