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Real-World Applications of Evolutionary Computing: EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight Edinburgh, Scotland, UK, April 17, 2000 Proceedings PDF

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Preview Real-World Applications of Evolutionary Computing: EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight Edinburgh, Scotland, UK, April 17, 2000 Proceedings

L e c t u r e N o t e s i n C o m p u t e r S c i e n c e 1 8 0 3 E d i t e d b y G . G o o s , J . H a r t m a n i s a n d J . v a n L e e u w e n 3 B e r lin H e id e lb e r g N e w Y o r k B a r c e lo n a H o n g K o n g L o n d o n M ila n P a r is S in g a p o r e T o k y o S t e f a n o C a g n o n i e t a l . ( E d s . ) R e a l - W o r l d A p p l i c a t i o n s o f E v o l u t i o n a r y C o m p u t i n g E v o W o r k s h o p s 2 0 0 0 : E v o I A S P , E v o S C O N D I , E v o T e l , E v o S T I M , E v o R o b , a n d E v o F l i g h t E d i n b u r g h , S c o t l a n d , U K , A p r i l 1 7 , 2 0 0 0 P r o c e e d i n g s 1 3 S e r ie s E d ito r s G e r h a r d G o o s , K a r ls r u h e U n iv e r s ity , G e r m a n y J u r is H a r tm a n is , C o r n e ll U n iv e r s ity , N Y , U S A J a n v a n L e e u w e n , U tr e c h t U n iv e r s ity , T h e N e th e r la n d s M a in V o lu m e E d ito r S te fa n o C a g n o n i U n iv e r s ity o f P a r m a D e p a r tm e n t o f C o m p u te r E n g in e e r in g P a r c o d e lle S c ie n z e 1 8 1 /a , 4 3 1 0 0 P a r m a , I ta ly E - m a il: c a g n o n i@ c e .u n ip r.it C a ta lo g in g - in - P u b lic a tio n d a ta a p p lie d f o r D ie D e u ts c h e B ib lio th e k - C I P - E in h e its a u f n a h m e R e a l w o r ld a p p lic a tio n s o f e v o lu tio n a r y c o m p u tin g : p r o c e e d in g s / E v o W o r k s h o p s 2 0 0 0 : E v o I A S P . . . , E d in b u rg h , S c o tla n d , U K , A p r il 1 7 , 2 0 0 0 . S te fa n o C a g n o n i . . . ( e d .) . - B e r lin ; H e id e lb e rg ; N e w Y o r k ; B a r c e lo n a ; H o n g K o n g ; L o n d o n ; M ila n ; P a r is ; S in g a p o r e ; T o k y o : S p r in g e r, 2 0 0 0 ( L e c tu r e n o te s in c o m p u te r s c ie n c e ; V o l. 1 8 0 3 ) I S B N 3 - 5 4 0 - 6 7 3 5 3 - 9 C R S u b je c t C la s s ifi c a tio n ( 1 9 9 8 ) : C .2 , I .4 , F .3 , I .2 , G .2 , F .2 , J .2 , J .1 , D .1 I S S N 0 3 0 2 - 9 7 4 3 I S B N 3 - 5 4 0 - 6 7 3 5 3 - 9 S p r in g e r- V e r la g B e r lin H e id e lb e r g N e w Y o r k T h is w o rk is su b je c t to c o p y rig h t. A ll rig h ts a re re se rv e d , w h e th e r th e w h o le o r p a rt o f th e m a te ria l is c o n c e rn e d , sp e c ifi c a lly th e rig h ts o f tra n sla tio n , re p rin tin g , re -u se o f illu stra tio n s, re c ita tio n , b ro a d c a stin g , re p ro d u c tio n o n m ic ro fi lm s o r in a n y o th e r w a y , a n d sto ra g e in d a ta b a n k s. D u p lic a tio n o f th is p u b lic a tio n o r p a rts th e re o f is p e rm itte d o n ly u n d e r th e p ro v isio n s o f th e G e rm a n C o p y rig h t L a w o f S e p te m b e r 9 , 1 9 6 5 , in its c u rre n t v e rsio n , a n d p e rm issio n fo r u se m u st a lw a y s b e o b ta in e d fro m S p rin g e r-V e rla g . V io la tio n s a re lia b le fo r p ro se c u tio n u n d e r th e G e rm a n C o p y rig h t L a w . S p rin g e r-V e rla g is a c o m p a n y in th e B e rte lsm a n n S p rin g e r p u b lish in g g ro u p . (cid:2)c S p rin g e r-V e rla g B e rlin H e id e lb e rg 2 0 0 0 P rin te d in G e rm a n y T y p e se ttin g : C a m e ra -re a d y b y a u th o r P rin te d o n a c id -fre e p a p e r S P IN : 1 0 7 2 0 1 7 3 0 6 /3 1 4 2 5 4 3 2 1 0 i rasigla ti fi ld f lti ar p tati ( )pr id s ala- lt ls,ispird t t r f atralslti a d g ti i rita ,t pr l s lig, a i lar ig,a d pti iati i a ral- rld appli- ati s. spit s arlititi sa t ,tat a datd a t t i- ti f p trs,a d a ttrfr ald fi iti f , ad i t 6 s, t q stfrral- rld appliati s f l ga i t lat s. dra ati i ras i p trp rfr a si t lastd ad ft 2 t - tr ga ris t a p siti f d a pr ss: t iq s a r a d r applia l,sti latigt gr t fitrsti t irstd ,a d all ig, i tr , p rfl paradig st d isd. I paralll it t rtialrs lts,t r ffi ldst i is igapplid isi rasigda da ,al g it t plit fappliati s a d appliati d ais.I parti lar,id striallrla tfi lds,s assig al a d i ag pr ssig, p tr isi ,pattr r g iti ,id strial tr l, tl iati ,s d liga d ti ta lig,a d a r spa gi rigar plig t iq st s l pl ral- rld pr l s. is l tais t pr digs f r s ps 2 :si r s- ps ral- rld appliati s f ld rr tl pril7t 2 i di rg . r s psar: I 2 ,t s d r p a r s- p lti ar p tati i I ag alsis a d ig al r ssig, - I2 ,t first r p a r s p lti ar p tati i st s, tr la d ri si I d str, l2 ,t s d r p a r s p lti ar l iati s, ti 2 ,t first r - p a r s p lti ar d liga d i ta lig, 2 ,t tird r p a r s p lti ar tis,a d ligt2 ,t first r p a r s p lti ar r a tis. r s ps2 as ld i ti it t t r a r r p a ts: r 2 ,t r p a fr ti r gra ig, ld pril t a d 6t,a d I 2 ,t ird I tr ati al fr la l st s:fr ilg t ard ar, ld fr pril7t t t. ldli t ta t rs ft itr ati alpr gra itt s ft si r s ps i i ld d t rsar rsa d rsar rsi t sp ifi fi lds fitrsta d s rd t ig q alit ft pap rs. pril2 tfa ag i, i ard li, i, rg it, a id r , arti ats, a art, ir a a i, g rt . . rs, a tr,a d r . gart r r s ps2 r I -hair tfan agn ni( ni rsit f arma Ital) I -hair i ar li( ni rsit f irmingham K) O I hair n i( ni rsit f lasg K) l -hair rg mith( ni rsit f ast nglia K) l -hair a i rn ( ni rsit f a ing K) l -hair artinOats( ritish l m pl K) I hair mma art( ni rsit f in rgh K) hair ir a an i( ilan lt hni Ital) light hair g rt . . rs( h thrlan s) alhair n a htr( apir ni rsit K) liatins hair rn . gart ( th ank ni rsit K) r s ps2 r r anagitis amiis hn lgial atinalInstittin f hssalniki r i anni rni ni rsit f arma Ital arjan an n kkr h thrlan s listair rmitag apir ni rsit K lfgang an haf ni rsit f rtm n rman an all . r as strn sr ni rsit n ra narini ilan lt hni Ital a him . rn aimlr hr slr rman lrt r ggi ni rsit f a ia Ital tfan agn ni ni rsit f arma Ital ri la hakra rt atinalngin ring a ratr K la larig ni rsit f irmingham K ar lm tti ilan lt hni Ital is rria ni rsit f is n rtgal as n aia ni rsit f ihigan ar rig r ni rsit f r ssls lgim hang . an r t K gstn i n i n ni rsit h thrlan s tr lming ni rsit f hffi l K ari lran it rlan Osar . aria ni rsit f rana a pain rg r¨ l rman ark r n lr ni rsit fZagr r atia Inman ar ni rsit f ss K r hil s an s ni rsit f ss K ran is rrra ni rsit f rana a pain asa ki irafji mp tatinal ling a ratr apan anil ar K K n nt ni rsit f lasg K ik ak i ni rsit f ss K ari K pp n ra nhfrI K rman hnK a tanfr ni rsit Ka hn an atinal ni rsit f ingap r ingap r n i ni rsit f lasg K ln ttn I I ran an ra r nimata ran Ora i iglin ni rsit f apls Ital lian illr ni rsit f irmingham K tfan lfi atinal sarh n ilItal tr r in halm rs ni rsit n n a htr apir ni rsit K i ar li ni rsit f irmingham K im mith ni rsit fth st f nglan K athias lan n aralingam kia K tr ann lls pl K rt mith ni rsit fth st f nglan K Ka hn an atinal ni rsit f ingap r ingap r n ra . . ttaman i n tia Ital n rrll ni rsit f rk K ans- iha l igt I rman . nr i rp l ni rsit K in a ni rsit f irmingham K liZalala rit- att ni rsit K p s r s s apir ni rsit K tth t rk f lln in ltinar mp ting s p cil rp s I g n ltin ith lbl rd r .............. . m lin . . str . . rn l n . r tr sc pic isinfr n id b t sing n tic r gr ing.. 2 . . . r . rin n . r hl str n tic lstring lgrith ................................... 22 . ng . . n . . ng c n Intrprttin sing ntic ts nd ltin r p ttin 34 . r h . . kls n . . tr ltin r lt ssin ign lp c s............................. 44 . . rrir il s rs inding lf rss: h ltr igh ch ppr ch.................... 4 . . r . rkins . . rm . hilr . . rtr . . ng . . rghs . . m nski n . . l h nd c li tinfr n id b tb ns f n tic r gr ing............................................................ 6 . rlss n . rin n . r hl nth c lbilit f n tic lgrith st r rg- c l tr lctin................................................................. 77 . s r n . . rt bining ltin r, nn ctinist, nd lssific tin lgrith sfr hp n lsis........................................... 7 . . sin n .O. ngs p ri ntl tr in tin f r s phil br nic rdin tsb n tic lgrith s,th i pl th d, nd hir brid.............. 7 . . ir . . im kin . init n . sm n p rs n tic lgrith ith c l rchfr ling b hp r bl s.. 7 . . i . . n . . ng

Description:
The increasingly active eld of Evolutionary Computation (EC) provides val- ble tools, inspired by the theory of natural selection and genetic inheritance, to problem solving, machine learning, and optimization in many real-world app- cations. Despite some early intuitions about EC, that can be dated
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