Analysis and visualization of a many-objective optimization landscape design problem

Luis A. Rivera-Zamarripa, Steven A. Roberts, Nareli Cruz-Cortés

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A general methodology to analyze the solution of a many-objective optimization problem (MOOP) to landscape design is presented. The landscape design problem consists on assigning different types of land use to specific areas identified as candidate sites to be changed. Some local and global ecological criteria are considered. In order to gain some clarity during the analysis of the solutions that conform to an optimal set some clustering strategies are usually utilized. In this chapter, we use a simple strategy called favour ranking to place similar solutions together. Then, the solutions are visualized using a state-of-the-art technique.

Original languageEnglish
Title of host publicationInterdisciplinary Topics in Applied Mathematics, Modeling and Computational Science
EditorsRoman 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
PublisherSpringer New York LLC
Pages375-380
Number of pages6
ISBN (Print)9783319123066, 9783319123066
DOIs
StatePublished - 2015
EventInternational Conference on Applied Mathematics, Modelling and Computational Science, AMMCS 2013 - Waterloo, Canada
Duration: 26 Aug 201330 Aug 2013

Publication series

NameSpringer Proceedings in Mathematics and Statistics
Volume117
ISSN (Print)2194-1009
ISSN (Electronic)2194-1017

Conference

ConferenceInternational Conference on Applied Mathematics, Modelling and Computational Science, AMMCS 2013
Country/TerritoryCanada
CityWaterloo
Period26/08/1330/08/13

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