A multi-objective optimization approach for invasive species control

In this paper, we formulate and analyse a long-term multi-objective dynamic model for controlling invasive species. This optimization framework is then applied to the case of buffelgrass control in the Arizona desert. The proposed model simultaneously optimizes three objectives corresponding to thre...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:The Journal of the Operational Research Society. - Taylor & Francis, Ltd.. - 65(2014), 11, Seite 1625-1635
1. Verfasser: Büyüktahtakın, İ Esra (VerfasserIn)
Weitere Verfasser: Feng, Zhuo, Szidarovszky, Ferenc
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2014
Zugriff auf das übergeordnete Werk:The Journal of the Operational Research Society
Schlagworte:Biological sciences Applied sciences Physical sciences Mathematics
LEADER 01000caa a22002652 4500
001 JST105480851
003 DE-627
005 20240624144859.0
007 cr uuu---uuuuu
008 180529s2014 xx |||||o 00| ||eng c
035 |a (DE-627)JST105480851 
035 |a (JST)24505076 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Büyüktahtakın, İ Esra  |e verfasserin  |4 aut 
245 1 2 |a A multi-objective optimization approach for invasive species control 
264 1 |c 2014 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
520 |a In this paper, we formulate and analyse a long-term multi-objective dynamic model for controlling invasive species. This optimization framework is then applied to the case of buffelgrass control in the Arizona desert. The proposed model simultaneously optimizes three objectives corresponding to three different valued and threatened resources including saguaros (a native cactus species), buildings and vegetation. The model is used to decide the optimal allocation of labour to these resources to control the population of the species in a multi-period planning horizon. The computational method to solve this problem is based on multi-objective integer programming. 
540 |a Copyright © 2014 Operational Research Society Ltd 
650 4 |a Biological sciences  |x Biology  |x Biological taxonomies  |x Species  |x Introduced species  |x Invasive species 
650 4 |a Applied sciences  |x Materials science  |x Physical damage  |x Fire damage 
650 4 |a Biological sciences  |x Biology  |x Botany  |x Plant ecology  |x Vegetation 
650 4 |a Biological sciences  |x Agriculture  |x Agricultural management 
650 4 |a Applied sciences  |x Computer science  |x Computer programming  |x Mathematical programming  |x Nonlinear programming  |x Objective functions 
650 4 |a Physical sciences  |x Earth sciences  |x Geography  |x Geomorphology  |x Landforms  |x Deserts 
650 4 |a Biological sciences  |x Ecology  |x Ecological processes  |x Ecological competition  |x Interspecific competition  |x Ecological invasion 
650 4 |a Biological sciences  |x Ecology  |x Ecological processes  |x Ecological competition  |x Interspecific competition  |x Ecological invasion  |x Biological invasions 
650 4 |a Mathematics  |x Pure mathematics  |x Discrete mathematics  |x Number theory  |x Numbers  |x Real numbers  |x Rational numbers  |x Integers 
650 4 |a Biological sciences  |x Ecology  |x Applied ecology  |x General Papers 
655 4 |a research-article 
700 1 |a Feng, Zhuo  |e verfasserin  |4 aut 
700 1 |a Szidarovszky, Ferenc  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t The Journal of the Operational Research Society  |d Taylor & Francis, Ltd.  |g 65(2014), 11, Seite 1625-1635  |w (DE-627)320465098  |w (DE-600)2007775-0  |x 14769360  |7 nnns 
773 1 8 |g volume:65  |g year:2014  |g number:11  |g pages:1625-1635 
856 4 0 |u https://www.jstor.org/stable/24505076  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_JST 
912 |a GBV_ILN_11 
912 |a GBV_ILN_20 
912 |a GBV_ILN_22 
912 |a GBV_ILN_23 
912 |a GBV_ILN_24 
912 |a GBV_ILN_31 
912 |a GBV_ILN_39 
912 |a GBV_ILN_40 
912 |a GBV_ILN_60 
912 |a GBV_ILN_62 
912 |a GBV_ILN_63 
912 |a GBV_ILN_65 
912 |a GBV_ILN_69 
912 |a GBV_ILN_70 
912 |a GBV_ILN_90 
912 |a GBV_ILN_100 
912 |a GBV_ILN_110 
912 |a GBV_ILN_187 
912 |a GBV_ILN_224 
912 |a GBV_ILN_285 
912 |a GBV_ILN_370 
912 |a GBV_ILN_374 
912 |a GBV_ILN_647 
912 |a GBV_ILN_702 
912 |a GBV_ILN_2001 
912 |a GBV_ILN_2003 
912 |a GBV_ILN_2005 
912 |a GBV_ILN_2006 
912 |a GBV_ILN_2007 
912 |a GBV_ILN_2008 
912 |a GBV_ILN_2009 
912 |a GBV_ILN_2010 
912 |a GBV_ILN_2011 
912 |a GBV_ILN_2014 
912 |a GBV_ILN_2015 
912 |a GBV_ILN_2018 
912 |a GBV_ILN_2020 
912 |a GBV_ILN_2021 
912 |a GBV_ILN_2026 
912 |a GBV_ILN_2027 
912 |a GBV_ILN_2034 
912 |a GBV_ILN_2044 
912 |a GBV_ILN_2050 
912 |a GBV_ILN_2056 
912 |a GBV_ILN_2057 
912 |a GBV_ILN_2061 
912 |a GBV_ILN_2088 
912 |a GBV_ILN_2093 
912 |a GBV_ILN_2107 
912 |a GBV_ILN_2111 
912 |a GBV_ILN_2129 
912 |a GBV_ILN_2190 
912 |a GBV_ILN_2336 
912 |a GBV_ILN_2507 
912 |a GBV_ILN_2548 
912 |a GBV_ILN_2935 
912 |a GBV_ILN_2940 
912 |a GBV_ILN_2949 
912 |a GBV_ILN_2950 
912 |a GBV_ILN_4012 
912 |a GBV_ILN_4035 
912 |a GBV_ILN_4037 
912 |a GBV_ILN_4046 
912 |a GBV_ILN_4112 
912 |a GBV_ILN_4126 
912 |a GBV_ILN_4242 
912 |a GBV_ILN_4251 
912 |a GBV_ILN_4305 
912 |a GBV_ILN_4306 
912 |a GBV_ILN_4307 
912 |a GBV_ILN_4313 
912 |a GBV_ILN_4322 
912 |a GBV_ILN_4323 
912 |a GBV_ILN_4324 
912 |a GBV_ILN_4325 
912 |a GBV_ILN_4335 
912 |a GBV_ILN_4346 
912 |a GBV_ILN_4393 
912 |a GBV_ILN_4700 
951 |a AR 
952 |d 65  |j 2014  |e 11  |h 1625-1635