Download Applications of Evolutionary Computing: EvoWorkshops 2009: by Jaroslaw Skaruz, Franciszek Seredynski (auth.), Mario PDF
By Jaroslaw Skaruz, Franciszek Seredynski (auth.), Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni A. Di Caro, Anikó Ekárt, Anna Isabel Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Penousal Machado (eds.)
This booklet constitutes the refereed joint complaints of 11 ecu workshops at the conception and functions of Evolutionary Computation, EvoWorkshops 2009, held in Tübingen, Germany, in April 2009 in the scope of the EvoStar 2009 event.
The sixty eight revised complete papers and 23 revised brief papers provided have been conscientiously reviewed and chosen from a complete of 143 submissions. With recognize to the 11 workshops coated, the papers are prepared in topical sections on telecommunication networks and different parallel and allotted structures, environmental concerns, finance and economics, video games, layout automation, snapshot research and sign processing, interactive evolution and humanized computational intelligence, tune, sound, artwork and layout, non-stop parameter optimisation, stochastic and dynamic environments, in addition to transportation and logistics.
Read or Download Applications of Evolutionary Computing: EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG, Tübingen, Germany, April 15-17, 2009. Proceedings PDF
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Extra resources for Applications of Evolutionary Computing: EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG, Tübingen, Germany, April 15-17, 2009. Proceedings
On Embedded networked sensor systems (SenSys), pp. 50–61. ACM, New York (2004) 7. : Battleﬁeld ad-hoc lans: a distributed processing perspective. GOMACTech. (2004) 8. : Development and characterization of an acoustic rangeﬁnder (2000) 9. : Location discovery using data-driven statistical error modeling. In: Proceedings of 25th IEEE International Conference on Computer Communications (INFOCOM), pp. 1–14 (2006) 10. : Global error-tolerant algorithms for location discovery in ad-hoc wireless networks.
The robots our work is based on are the foot-bots , which are small mobile robots developed within the Swarmanoid project . They move around on a combination of tracks and wheels, and are equipped with three diﬀerent devices for wireless communication: Wi-Fi, Bluetooth, and an infrared range and bearing system (Ir-RB). The latter one consists of a number of infrared transmitters and receivers placed all around the robot. The system allows both the wireless transmission of data over short distances along line-of-sight (LoS) paths, as well as the estimation of the relative distance and angle to other robots.
A technique that solves LD as if there were no measurement errors will have limited location accuracy. But if a model of the distance measurement error is employed, the quality of the results obtained can be greatly improved. 2 Distance Error Model The data we employ was gathered from several experiments performed at the Fort Leonard Wood Self Healing Mineﬁeld Test Facility . Those experiments deployed a WSN containing from 79 to 93 sensor nodes, which are custom design on an SH4 microprocessor running at 200 MHz.