CoteParrottSabourin2007

Référence

Cote, P., Parrott, L. and Sabourin, R. (2007) Multi-objective optimization of an ecological assembly model. Ecological Informatics, 2:23-31.

Résumé

The aim of the present work is to use multi-objective evolutionary algorithms (MOEA) to parametrise an ecological assembly model based on Lotka-Volterra dy- namics. In community assembly models, species are introduced from a pool of species according to a sequence of invasion. By manipulating the assembly sequences, we look at the structure of the ¯nal communities obtained by a multi-objective process where the goal is to optimize the productivity of the ¯nal communities. The MOEA must also meet the constraint that the communities constructed in this fashion have a speci¯ed connectance. The Non-dominated Sorting Algorithm (NSGA-II) and the Strength Pareto Evolutionary Algorithm (SPEA2) were employed to optimize se- quences according to the multi-objective optimization problem. The results show that the assembly process using optimized sequences generated di®erent community structure than those generated via random sequences. First, the assembled commu- nities are much more productive than those obtained from random sequences. We show that this increase of productivity is due to the degree distribution of the com- munity food web, which was reshaped by the optimization process. In addition, using identical regional species pools the MOEAs were able to generate communi- ties of di®erent expected connectances. These results demonstrate the e®ectiveness of NSGA-II and SPEA2 for optimizing parameters in ecological models.

Format EndNote

Vous pouvez importer cette référence dans EndNote.

Format BibTeX-CSV

Vous pouvez importer cette référence en format BibTeX-CSV.

Format BibTeX

Vous pouvez copier l'entrée BibTeX de cette référence ci-bas, ou l'importer directement dans un logiciel tel que JabRef .

@ARTICLE { CoteParrottSabourin2007,
    AUTHOR = { Cote, P. and Parrott, L. and Sabourin, R. },
    TITLE = { Multi-objective optimization of an ecological assembly model },
    JOURNAL = { Ecological Informatics },
    YEAR = { 2007 },
    VOLUME = { 2 },
    PAGES = { 23-31 },
    ABSTRACT = { The aim of the present work is to use multi-objective evolutionary algorithms (MOEA) to parametrise an ecological assembly model based on Lotka-Volterra dy- namics. In community assembly models, species are introduced from a pool of species according to a sequence of invasion. By manipulating the assembly sequences, we look at the structure of the ¯nal communities obtained by a multi-objective process where the goal is to optimize the productivity of the ¯nal communities. The MOEA must also meet the constraint that the communities constructed in this fashion have a speci¯ed connectance. The Non-dominated Sorting Algorithm (NSGA-II) and the Strength Pareto Evolutionary Algorithm (SPEA2) were employed to optimize se- quences according to the multi-objective optimization problem. The results show that the assembly process using optimized sequences generated di®erent community structure than those generated via random sequences. First, the assembled commu- nities are much more productive than those obtained from random sequences. We show that this increase of productivity is due to the degree distribution of the com- munity food web, which was reshaped by the optimization process. In addition, using identical regional species pools the MOEAs were able to generate communi- ties of di®erent expected connectances. These results demonstrate the e®ectiveness of NSGA-II and SPEA2 for optimizing parameters in ecological models. },
    KEYWORDS = { Assembly Models, Food Webs, Community Assembly, Genetic Algorithms, Multi-Objective Optimization, Lotka-Volterra Dynamics },
    OWNER = { brugerolles },
    TIMESTAMP = { 2007.12.05 },
}

********************************************************** ***************** Facebook Twitter *********************** **********************************************************

Abonnez-vous à
l'Infolettre du CEF!

********************************************************** ************* Écoles d'été et formation **************************** **********************************************************

Écoles d'été et formations

********************************************************** ***************** Pub - Symphonies_Boreales ****************** **********************************************************

********************************************************** ***************** Boîte à trucs *************** **********************************************************

CEF-Référence
La référence vedette !

Jérémie Alluard (2016) Les statistiques au moments de la rédaction 

  • Ce document a pour but de guider les étudiants à intégrer de manière appropriée une analyse statistique dans leur rapport de recherche.

Voir les autres...