Journal article
Interactive evolutionary approaches to multiobjective spatial decision making: A synthetic review
Computers, Environment and Urban Systems, Vol.31(3), pp.232-252
2007
DOI: 10.1016/j.compenvurbsys.2006.08.001
Abstract
This paper reviews recent developments in evolutionary algorithms and visualization in the context of multiobjective spatial decision making. A synthetic perspective is employed to bridge these two areas and to create a unified conceptual framework that can be used to address a broad range of multiobjective spatial decision problems. In this framework, evolutionary algorithms are employed to generate optimal, or near-optimal, solutions to a problem being addressed. Alternatives created are then displayed in an interactive visual support system that can be used by decision makers to discover the competing nature of multiple objectives and to gain knowledge about the tradeoffs among alternatives.
Details
- Title: Subtitle
- Interactive evolutionary approaches to multiobjective spatial decision making: A synthetic review
- Creators
- Ningchuan XiaoDavid A. Bennett - University of IowaMarc P Armstrong
- Resource Type
- Journal article
- Publication Details
- Computers, Environment and Urban Systems, Vol.31(3), pp.232-252
- DOI
- 10.1016/j.compenvurbsys.2006.08.001
- ISSN
- 0198-9715
- Language
- English
- Date published
- 2007
- Academic Unit
- Geographical and Sustainability Sciences
- Record Identifier
- 9983557272702771
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