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)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Interdisciplinary Topics in Applied Mathematics, Modeling and Computational Science
Editors	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
Publisher	Springer New York LLC
Pages	381-388
Number of pages	8
ISBN (Print)	9783319123066, 9783319123066
DOIs	https://doi.org/10.1007/978-3-319-12307-3_55
State	Published - 2015
Event	International Conference on Applied Mathematics, Modelling and Computational Science, AMMCS 2013 - Waterloo, Canada Duration: 26 Aug 2013 → 30 Aug 2013

Publication series

Name	Springer Proceedings in Mathematics and Statistics
Volume	117
ISSN (Print)	2194-1009
ISSN (Electronic)	2194-1017

Conference

Conference	International Conference on Applied Mathematics, Modelling and Computational Science, AMMCS 2013
Country/Territory	Canada
City	Waterloo
Period	26/08/13 → 30/08/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

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

Cite this

Roberts, S. A., Cruz-Cortés, N., & Hall, G. B. (2015). Evolutionary multiobjective optimization (EOM) design for peri-urban greenlands systems: Metric implementations. In 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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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.}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; International Conference on Applied Mathematics, Modelling and Computational Science, AMMCS 2013 ; Conference date: 26-08-2013 Through 30-08-2013",

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Roberts, SA, Cruz-Cortés, N & Hall, GB 2015, Evolutionary multiobjective optimization (EOM) design for peri-urban greenlands systems: Metric implementations. in 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, Canada, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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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Roberts SA, Cruz-Cortés N, Hall GB. Evolutionary multiobjective optimization (EOM) design for peri-urban greenlands systems: Metric implementations. In Makarov RN, Melnik RVN, Kotsireas IS, Shodiev H, Cojocaru MG, Cojocaru MG, Makarov RN, Melnik RVN, Kotsireas IS, Shodiev H, editors, 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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