Related Experiment Video
Updated: Jun 27, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Developing a multi-objective forest planning process with goal programming: a case study
1Faculty of Forestry, Karadeniz Technical University, 61080 Trabzon, Turkey.
Abstract:
In this study, multi-objective forest management planning process and application were realized in a case study involving faculty research forest. Forest values were quantitatively determined. Goal programming was used in developing multi objective forest management planning model. Forest function considered as forest management objectives (goals) in the model include wood production, soil protection and water production. Four different models containing different goals combinations were developed. Goals were prioritized differently in these models. The goals were fully achieved. Moreover, for the tree goals, the optimum GP solutions presented wanted deviations with respect to the initial target values. Forest function maps were prepared according to models solutions in the end of this study.
Related Concept Videos
Lagrange Multipliers: Problem Solving
Lagrange Multipliers: Two Constraints
Methods of Medium Optimization
Decision Making: P-value Method
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Decision Making: Traditional Method
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Mathematical Modeling: Problem Solving