Landscape-level optimization using tabu search and stand density-related forest management prescriptions

DOI10.1016/j.ejor.2005.09.025zbMath1102.90017OpenAlexW1975727814MaRDI QIDQ852999

Pete Bettinger, Jian-Ping Zhu, Kevin Boston, Young Hwan Kim

Publication date: 15 November 2006

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2005.09.025

zbMATH Keywords

heuristicscombinatorial optimizationenvironmentlarge scale optimizationforest landscape planning

Mathematics Subject Classification ID

Large-scale problems in mathematical programming (90C06) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27) Case-oriented studies in operations research (90B90) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

Related Items (6)

A theoretical minimal solution for heuristics: the case of the spatial harvest timber problem ⋮ On the Weibull cost estimation of building frames designed by simulated annealing ⋮ Identification of effective implementations of simulated annealing for optimizing thinning schedules for single forest stands ⋮ A maximal covering location-based model for analyzing the vulnerability of landscapes to wildfires: assessing the worst-case scenario ⋮ Spatial optimization of the pattern of fuel management activities and subsequent effects on simulated wildfires ⋮ Mathematical optimization ideas for biodiversity conservation

Cites Work

• A tabu search algorithm for finding good forest harvest schedules satisfying green-up constraints
• Heuristic solution approaches to operational forest planning problems
• Tabu Search—Part I
• Tabu Search—Part II
• Procedures for Estimating Optimal Solution Values for Large Combinatorial Problems
• Interval estimation of a global optimum for large combinatorial problems
• A Search Model for Evaluating Combinatorially Explosive Problems

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