Differential Evolution

Lampinen, Jouko; Storn, Rainer

doi:10.1007/978-3-540-39930-8_6

Cited by 115 publications

(39 citation statements)

References 25 publications

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“…In this work, the simulation parameters N pop , P mut and P cross are taken as 50, 0.7 and 0.9, respectively. Some basic principles and suggestions from the literature helped guide our choice of parameter values for the algorithm [ Storn and Price , 1997; Price , 1999; Lampinen and Storn , 2004; Akdagli and Yuksel , 2006].…”

Section: Numerical Simulations and Resultsmentioning

confidence: 99%

Differential evolution based prediction of rain attenuation over a LOS terrestrial link situated in the southern United Kingdom

Develı

2007

Radio Science

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[1] The principal objective of a rain attenuation prediction method is to achieve acceptable estimates of the attenuation incurred on the signal due to rain. In this paper, a differential evolution (DE) based model for predicting rain attenuation in a terrestrial point-to-point line of sight (LOS) link at 97 GHz is proposed using previously available experimental data obtained in the southern United Kingdom. Rainfall rate and percentage of time are used as input data in the proposed prediction model. Excellent agreement between the experimental data and the model output indicates that the presented DE based method may efficiently be used for accurate prediction of the rain attenuation levels.Citation: Develi, I. (2007), Differential evolution based prediction of rain attenuation over a LOS terrestrial link situated in the southern United Kingdom, Radio Sci., 42, RS3011,

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Section: Numerical Simulations and Resultsmentioning

confidence: 99%

Differential evolution based prediction of rain attenuation over a LOS terrestrial link situated in the southern United Kingdom

Develı

2007

Radio Science

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“…A discrete optimization approach for DE was initially explored by Davendra (2001) and since then by many other researchers (see for details Onwubolu (2001), Onwubolu (2004) and Lampinen and Storn (2004)). The EDE approach by Davendra and Onwubolu (2009) is used as the DE approach for this hybrid system.…”

Section: Enhanced Differential Evolutionmentioning

confidence: 99%

Hybrid Differential Evolution – Scatter Search Algorithm for Permutative Optimization

Davendra¹,

Zelinka²,

Onwubolu³

2009

Evolutionary Computation

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“…The Differential Evolution (DE) algorithm [14,8,4,6] was introduced by Storn and Price in 1995 [13]. The design principles of DE were simplicity, efficiency, and use of floating-point encoding instead of binary numbers.…”

Section: Differential Evolutionmentioning

confidence: 99%

An extended mutation concept for the local selection based differential evolution algorithm

Rönkkönen

Lampinen

2007

Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation

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A new mutation concept is proposed to generalize local selection based Differential Evolution algorithm to work in general multimodal problems. Three variations of the proposed method are compared with classic Differential Evolution algorithm using a set of five well known test functions and their variants. The general idea of the new mutation operation is to divide the mutation into two parts: the local and global mutation. The global mutation works as a migration operator allowing the algorithm perform global search efficiently, while the local mutation improves the efficiency of local search.The results show that the concept of global mutation is able to generalize the good performance of local selection based Differential Evolution from convex uni-modal functions to general nonconvex and multi-modal problems. Among the tested functions, the new method was able to outperform the classic Differential Evolution in all but one. A limited analysis of the effects of control parameters to the performance of the algorithm is also done.

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Differential Evolution

Cited by 115 publications

References 25 publications

Differential evolution based prediction of rain attenuation over a LOS terrestrial link situated in the southern United Kingdom

Differential evolution based prediction of rain attenuation over a LOS terrestrial link situated in the southern United Kingdom

Hybrid Differential Evolution – Scatter Search Algorithm for Permutative Optimization

An extended mutation concept for the local selection based differential evolution algorithm

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