A multiobjective model for forest planning with adjacency constraints

DOI10.1007/S10479-009-0525-4zbMath1233.90245OpenAlexW2070551877MaRDI QIDQ666479

E. Aldana, Trinidad Gómez, Julian Molina, Rafael Caballero, Mónica Hernández, Maria A. Leon

Publication date: 8 March 2012

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-009-0525-4

zbMATH Keywords

goal programmingmetaheuristic methodsadjacency constraintsforest planningnonlinear binary models

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (3)

A multiple objective methodology for sugarcane harvest management with varying maturation periods ⋮ A group decision making model based on goal programming with fuzzy hierarchy: an application to regional forest planning ⋮ Modeling target volume flows in forest harvest scheduling subject to maximum area restrictions

Uses Software

• Scatter Search
• SSPMO

Cites Work

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• Approximative solution methods for multiobjective combinatorial optimization. With discussion and a rejoinder by the authors.
• Optimizing heuristic search in forest planning
• Lexicographic improvement of the target values in convex goal programming
• Review of combinatorial problems induced by spatial forest harvesting planning
• Handbook of operations research in natural resources. With the collaboration of Jaime Miranda
• SSPMO: A Scatter Tabu Search Procedure for Non-Linear Multiobjective Optimization
• Harvest Scheduling Subject to Maximum Area Restrictions: Exploring Exact Approaches
• Evolutionary Algorithms for Solving Multi-Objective Problems
• Multi-objective meta-heuristics: An overview of the current state-of-the-art

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