Evolutionary multiobjective optimization (EOM) design for peri-urban greenlands systems: Metric implementations

S. A. Roberts; Nareli Cruz-Cortés; G. B. Hall

doi:10.1007/978-3-319-12307-3_55

Evolutionary multiobjective optimization (EOM) design for peri-urban greenlands systems: Metric implementations

S. A. Roberts, Nareli Cruz-Cortés, G. B. Hall

Centro de Investigación en Computación (CIC)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

Habitat fragmentation and loss is a key issue for land-use planning and environmental policy implementation. Greenlands Systems have been proposed as one solution to this issue. This chapter discusses aspects of implementation of an evolutionary multi objective optimization (EMO) methodology for a Greenlands System design. The application of landscape ecology principles via EMO, combined with analysis of the Pareto front of nondominated solutions and the measure of favor of these solutions provides a methodology to address the deterioration of ecological function in urban fringe areas and insights into the steps that can be taken to promote sustainable peri-urban landscapes. The results of particular landscape metrics using a real-world data set of a small study area bring into relief issues concerning the interplay between the mathematization of landscape ecology principles of design and the resulting set of estimates of the Pareto optimal solutions.

Idioma original	Inglés
Título de la publicación alojada	Interdisciplinary Topics in Applied Mathematics, Modeling and Computational Science
Editores	Roman N. Makarov, Roderick V. N. Melnik, Ilias S. Kotsireas, Hasan Shodiev, Monica G. Cojocaru, Monica G. Cojocaru, Roman N. Makarov, Roderick V. N. Melnik, Ilias S. Kotsireas, Hasan Shodiev
Editorial	Springer New York LLC
Páginas	381-388
Número de páginas	8
ISBN (versión impresa)	9783319123066, 9783319123066
DOI	https://doi.org/10.1007/978-3-319-12307-3_55
Estado	Publicada - 2015
Evento	International Conference on Applied Mathematics, Modelling and Computational Science, AMMCS 2013 - Waterloo, Canadá Duración: 26 ago. 2013 → 30 ago. 2013

Serie de la publicación

Nombre	Springer Proceedings in Mathematics and Statistics
Volumen	117
ISSN (versión impresa)	2194-1009
ISSN (versión digital)	2194-1017

Conferencia

Conferencia	International Conference on Applied Mathematics, Modelling and Computational Science, AMMCS 2013
País/Territorio	Canadá
Ciudad	Waterloo
Período	26/08/13 → 30/08/13

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1007/978-3-319-12307-3_55

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Roberts, S. A., Cruz-Cortés, N., & Hall, G. B. (2015). Evolutionary multiobjective optimization (EOM) design for peri-urban greenlands systems: Metric implementations. En R. N. Makarov, R. V. N. Melnik, I. S. Kotsireas, H. Shodiev, M. G. Cojocaru, M. G. Cojocaru, R. N. Makarov, R. V. N. Melnik, I. S. Kotsireas, & H. Shodiev (Eds.), Interdisciplinary Topics in Applied Mathematics, Modeling and Computational Science (pp. 381-388). (Springer Proceedings in Mathematics and Statistics; Vol. 117). Springer New York LLC. https://doi.org/10.1007/978-3-319-12307-3_55

Roberts, S. A. ; Cruz-Cortés, Nareli ; Hall, G. B. / Evolutionary multiobjective optimization (EOM) design for peri-urban greenlands systems : Metric implementations. Interdisciplinary Topics in Applied Mathematics, Modeling and Computational Science. editor / Roman N. Makarov ; Roderick V. N. Melnik ; Ilias S. Kotsireas ; Hasan Shodiev ; Monica G. Cojocaru ; Monica G. Cojocaru ; Roman N. Makarov ; Roderick V. N. Melnik ; Ilias S. Kotsireas ; Hasan Shodiev. Springer New York LLC, 2015. pp. 381-388 (Springer Proceedings in Mathematics and Statistics).

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title = "Evolutionary multiobjective optimization (EOM) design for peri-urban greenlands systems: Metric implementations",

abstract = "Habitat fragmentation and loss is a key issue for land-use planning and environmental policy implementation. Greenlands Systems have been proposed as one solution to this issue. This chapter discusses aspects of implementation of an evolutionary multi objective optimization (EMO) methodology for a Greenlands System design. The application of landscape ecology principles via EMO, combined with analysis of the Pareto front of nondominated solutions and the measure of favor of these solutions provides a methodology to address the deterioration of ecological function in urban fringe areas and insights into the steps that can be taken to promote sustainable peri-urban landscapes. The results of particular landscape metrics using a real-world data set of a small study area bring into relief issues concerning the interplay between the mathematization of landscape ecology principles of design and the resulting set of estimates of the Pareto optimal solutions.",

author = "Roberts, {S. A.} and Nareli Cruz-Cort{\'e}s and Hall, {G. B.}",

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Roberts, SA, Cruz-Cortés, N & Hall, GB 2015, Evolutionary multiobjective optimization (EOM) design for peri-urban greenlands systems: Metric implementations. En RN Makarov, RVN Melnik, IS Kotsireas, H Shodiev, MG Cojocaru, MG Cojocaru, RN Makarov, RVN Melnik, IS Kotsireas & H Shodiev (eds.), Interdisciplinary Topics in Applied Mathematics, Modeling and Computational Science. Springer Proceedings in Mathematics and Statistics, vol. 117, Springer New York LLC, pp. 381-388, International Conference on Applied Mathematics, Modelling and Computational Science, AMMCS 2013, Waterloo, Canadá, 26/08/13. https://doi.org/10.1007/978-3-319-12307-3_55

Evolutionary multiobjective optimization (EOM) design for peri-urban greenlands systems: Metric implementations. / Roberts, S. A.; Cruz-Cortés, Nareli; Hall, G. B.
Interdisciplinary Topics in Applied Mathematics, Modeling and Computational Science. ed. / Roman N. Makarov; Roderick V. N. Melnik; Ilias S. Kotsireas; Hasan Shodiev; Monica G. Cojocaru; Monica G. Cojocaru; Roman N. Makarov; Roderick V. N. Melnik; Ilias S. Kotsireas; Hasan Shodiev. Springer New York LLC, 2015. p. 381-388 (Springer Proceedings in Mathematics and Statistics; Vol. 117).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T2 - International Conference on Applied Mathematics, Modelling and Computational Science, AMMCS 2013

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AU - Cruz-Cortés, Nareli

AU - Hall, G. B.

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PY - 2015

Y1 - 2015

N2 - Habitat fragmentation and loss is a key issue for land-use planning and environmental policy implementation. Greenlands Systems have been proposed as one solution to this issue. This chapter discusses aspects of implementation of an evolutionary multi objective optimization (EMO) methodology for a Greenlands System design. The application of landscape ecology principles via EMO, combined with analysis of the Pareto front of nondominated solutions and the measure of favor of these solutions provides a methodology to address the deterioration of ecological function in urban fringe areas and insights into the steps that can be taken to promote sustainable peri-urban landscapes. The results of particular landscape metrics using a real-world data set of a small study area bring into relief issues concerning the interplay between the mathematization of landscape ecology principles of design and the resulting set of estimates of the Pareto optimal solutions.

AB - Habitat fragmentation and loss is a key issue for land-use planning and environmental policy implementation. Greenlands Systems have been proposed as one solution to this issue. This chapter discusses aspects of implementation of an evolutionary multi objective optimization (EMO) methodology for a Greenlands System design. The application of landscape ecology principles via EMO, combined with analysis of the Pareto front of nondominated solutions and the measure of favor of these solutions provides a methodology to address the deterioration of ecological function in urban fringe areas and insights into the steps that can be taken to promote sustainable peri-urban landscapes. The results of particular landscape metrics using a real-world data set of a small study area bring into relief issues concerning the interplay between the mathematization of landscape ecology principles of design and the resulting set of estimates of the Pareto optimal solutions.

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PB - Springer New York LLC

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Roberts SA, Cruz-Cortés N, Hall GB. Evolutionary multiobjective optimization (EOM) design for peri-urban greenlands systems: Metric implementations. En Makarov RN, Melnik RVN, Kotsireas IS, Shodiev H, Cojocaru MG, Cojocaru MG, Makarov RN, Melnik RVN, Kotsireas IS, Shodiev H, editores, Interdisciplinary Topics in Applied Mathematics, Modeling and Computational Science. Springer New York LLC. 2015. p. 381-388. (Springer Proceedings in Mathematics and Statistics). doi: 10.1007/978-3-319-12307-3_55

Evolutionary multiobjective optimization (EOM) design for peri-urban greenlands systems: Metric implementations

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