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A guide to multi-objective optimization for ecological problems with an application to cackling goose management

Perry J. Williams and William L. Kendall

Ecological Modelling, 2017, vol. 343, issue C, 54-67

Abstract: Choices in ecological research and management are the result of balancing multiple, often competing, objectives. Multi-objective optimization (MOO) is a formal decision-theoretic framework for solving multiple objective problems. MOO is used extensively in other fields including engineering, economics, and operations research. However, its application for solving ecological problems has been sparse, perhaps due to a lack of widespread understanding. Thus, our objective was to provide an accessible primer on MOO, including a review of methods common in other fields, a review of their application in ecology, and a demonstration to an applied resource management problem.

Keywords: Decision analysis; Decision theory; Dominated choice; Efficiency frontier; Multi-criteria decision making; Pareto frontier; Pareto optimality (search for similar items in EconPapers)
Date: 2017
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Handle: RePEc:eee:ecomod:v:343:y:2017:i:c:p:54-67