NDLI: Differential Evolution in Constrained Sampling Problems

Content Provider	IEEE Xplore Digital Library
Author	Varela, G. Caamano, P. Orjales, F. Deibe, A. Lopez-Pena, F. Duro, R.J.
Copyright Year	2014
Description	Author affiliation: Integrated Group for Eng. Res., Univ. of A Coruna, Ferrol, Spain (Varela, G.; Caamano, P.; Orjales, F.; Deibe, A.; Lopez-Pena, F.; Duro, R.J.)
Abstract	This work proposes a set of modifications to the Differential Evolution algorithm in order to make it more efficient in solving a particular category of problems, the so called Constrained Sampling problems. In this type of problems, which are usually related to the on-line real-world application of evolution, it is not always straightforward to evaluate the fitness landscapes due to the computational cost it implies or to physical constraints of the specific application. The fact is that the sampling or evaluation of the offspring points within the fitness landscape generally requires a decoding phase that implies physical changes over the parents or elements used for sampling the landscape, whether through some type of physical migration from their locations or through changes in their configurations. Here we propose a series of modifications to the Differential Evolution algorithm in order to improve its efficiency when applied to this type of problems. The approach is compared to a standard DE using some common real-coded benchmark functions and then it is applied to a real constrained sampling problem through a series of real experiments where a set of Unmanned Aerials Vehicles is used to find shipwrecked people.
Starting Page	2375
Ending Page	2382
File Size	1200817
Page Count	8
File Format	PDF
e-ISBN	9781479914883
DOI	10.1109/CEC.2014.6900314
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sociology Statistics Algorithm design and analysis Standards Trajectory Benchmark testing Optimization
Content Type	Text
Resource Type	Article

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