INTEGER PROGRAMMING APPROACH TO CONTROL INVASIVE SPECIES SPREAD BASED ON CELLULAR AUTOMATON MODEL

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F17%3A76019" target="_blank" >RIV/60460709:41320/17:76019 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1111/nrm.12101" target="_blank" >http://dx.doi.org/10.1111/nrm.12101</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/nrm.12101" target="_blank" >10.1111/nrm.12101</a>

Jazyk výsledku

angličtina

Název v původním jazyce

INTEGER PROGRAMMING APPROACH TO CONTROL INVASIVE SPECIES SPREAD BASED ON CELLULAR AUTOMATON MODEL

Popis výsledku v původním jazyce

We propose a new optimization model that captures the spatial dynamics of invaders by a cellular automaton model and finds the optimal solution to control its spread within a 0-1 integer programming framework. The model seeks a solution by minimizing the total costs to implement treatments for preventing the spread and damage caused by invaders colonization. By incorporating a cellular automaton model governed by stateand distance-dependent probability rule of colonization, the model is transformed into a linear model, so that a 0-1 integer programming formulation is used to evaluate and compare an optimal allocation of treatments on colonized and uncolonized areas. The study uses a hypothetical map to show that treatments on colonized cells are more effective when implemented at the front line of the invaders, while treatments on uncolonized areas are effective when conducted with some distance or buffer zone away from the front line. These buffer zones are likely to be colonized regardless of treat

Název v anglickém jazyce

INTEGER PROGRAMMING APPROACH TO CONTROL INVASIVE SPECIES SPREAD BASED ON CELLULAR AUTOMATON MODEL

Popis výsledku anglicky

We propose a new optimization model that captures the spatial dynamics of invaders by a cellular automaton model and finds the optimal solution to control its spread within a 0-1 integer programming framework. The model seeks a solution by minimizing the total costs to implement treatments for preventing the spread and damage caused by invaders colonization. By incorporating a cellular automaton model governed by stateand distance-dependent probability rule of colonization, the model is transformed into a linear model, so that a 0-1 integer programming formulation is used to evaluate and compare an optimal allocation of treatments on colonized and uncolonized areas. The study uses a hypothetical map to show that treatments on colonized cells are more effective when implemented at the front line of the invaders, while treatments on uncolonized areas are effective when conducted with some distance or buffer zone away from the front line. These buffer zones are likely to be colonized regardless of treat

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10602 - Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

NATURAL RESOURCE MODELING

ISSN

0890-8575

e-ISSN

—

Svazek periodika

30

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

42

Strana od-do

1-42

Kód UT WoS článku

000403277600002

EID výsledku v databázi Scopus

2-s2.0-84980319848