evolutionari method wellknown techniqu solv nonlinear constrain optim problem due explor power evolutionbas optim popul usual converg region around global optimum after sever generat although converg can effici use reduc search space most exist optim method search still continu over origin space consider time wast search ineffect region this paper propos simpl general approach base search space reduct improv exploit power exist evolutionari method without ad ani signific comput complex after number generat when enough explor perform search space reduc small subspac around best individu search continu over reduc space space reduct paramet redgen redfactor adjust proper reduc space includ global optimum the propos scheme can help exist evolutionari method find better nearoptim solut shorter time demonstr power new approach appli set benchmark constrain optim problem result compar previous work literatur

Alireza Rowhanimanesh

Sohrab Efati

A Novel Approach to Improve the Performance of Evolutionary Methods for Nonlinear Constrained Optimization

this paper focus design tool guid group peopl out public build when face danger situat requir immedi evacu despit architectur attempt produc safe floor plan exit door placement peopl still commit fatal rout decis sinc have access global view believ supervisori peopl control room can use our simul tool determin best cours action peopl accord supervisor can guid peopl safeti paper combin coulomb electr law graph theori convex centroid concept demonstr computergener evacu scenario divid environ differ safe boundari around locat each exit door order guid peopl through exit door safe most expedi time frame our mechan continu updat safe boundari each moment base latest locat individu who present insid environ guid peopl toward exit door depend momentari situat environ which turn reli specif each exit door our mechan rapid adapt chang environ term move agent chang environment layout might caus explos fall wall

Pejman Kamkarian

Henry Hexmoor

Crowd Evacuation for Indoor Public Spaces Using Coulomb&#x2019;s Law

propos cooper question answere system take input natur languag queri abl return cooper answer base semant web resourc more specif dbpedia repres owl rdf knowledg base wordnet build similar question our system resort ontolog onli reason also find answer independ prior knowledg semant resourc user the natur languag question translat it semant represent answer consult semant sourc inform the system abl clarifi problem ambigu help find path correct answer multipl answer question pose similar question which dbpedia contain answer group accord semant mean provid more cooper clarifi answer user

Dora Melo

Irene Pimenta Rodrigues

Vitor Beires Nogueira

Work Out the Semantic Web Search: The Cooperative Way

qualia exploit sensor technolog quest motiv architectur use algorithm fusion adapt feedback loop face recognit hyperspectr imageri hsi present quest seek develop general purpos comput intellig system captur benefici engin aspect qualiabas solut qualiabas approach construct from subject represent have abil detect distinguish character entiti environ adaptiv feedback loop implement enhanc perform reduc candid subject galleri inject addit probe imag dure match process the architectur present provid framework explor more advanc integr strategi beyond those present algorithm result perform improv present spatial spectral tempor effect util addit matlabbas graphic user interfac gui develop aid process track perform display result

David M. Ryer

Trevor J. Bihl

Kenneth W. Bauer

Steven K. Rogers

QUEST Hierarchy for Hyperspectral Face Recognition

have develop method spatiotempor integr databas shop compani inform from digit telephon directori spatiotempor order monitor dynam urban transform detail manner realiz addit method necessari verifi identic differ instanc japanes shop compani name might contain fluctuat descript paper discuss method util gram model compar identifi japanes word the process accuraci improv through develop various kind librari frequent appear word use librari clean shop compani name addit accuraci great novelti improv through detect those frequent appear word appear eccentr across both space time util natur languag process nlp our method incorpor novel techniqu advanc process spatial tempor data

Yuki Akiyama

Ryosuke Shibasaki

A Method for Identifying Japanese Shop and Company Names by Spatiotemporal Cleaning of Eccentrically Located Frequently Appearing Words

present extens experiment studi phrasebas statist machin translat from point view it learn capabl veri accur learn curv obtain use highperform comput extrapol project perform system under differ condit provid our experi confirm exist most unpublish belief about learn capabl statist machin translat system also provid insight way statist machin translat learn from data includ respect influenc translat languag model impact phrase length perform various unlearn perturb analys our result support illustr fact perform improv constant amount each doubl data across differ languag pair differ system this fundament limit seem direct consequ zipf law govern textual data although rate improv may depend both data estim method unlik general shape learn curv chang without major chang model infer phase possibl research direct address issu includ integr linguist rule develop activ learn procedur

Marco Turchi

Tijl De Bie

Cyril Goutte

Nello Cristianini

Learning to Translate: A Statistical and Computational Analysis

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