Forest Harvest Scheduling - From Linear Programming to Heuristic Search

This book provides a synthesis of methods that have been used in both practice and research to develop forest harvest schedules (plans of action) and to assess alternative policy scenarios. Beginning with exact mathematical methods (linear, mixed integer, and goal programming), the book provides a brief history of their conception, followed by an approachable description of the processes commonly employed to search a solution space for the optimal solution to a problem. Hill-climbing, random search, and binary search processes are then described as relatively simple alternatives to the exact methods. Heuristic search processes (threshold accepting, simulated annealing, tabu search, and genetic algorithms) are then described as semi-rational, biased alternatives to solving forest harvest scheduling problems. The closing remarks of the book provide context for the use of forest harvest scheduling in addressing today's contemporary forest management issues. In addition to a set of common-sense principles that are introduced throughout the book, provided in the book is a fifty-question exam associated with the content introduced.

Sommario

Chapter 1. Introduction
.- 1. Introduction.
.- 2. The Forest Harvest Scheduling Optimization Problem.
.- 3. Classic and Contemporary Influences on Forest Harvest Scheduling.
.- 4. Solving Forest Harvest Scheduling Assignment Problems.
.- 5. Harvest Scheduling Search Behavior.
.- 6. Difficulty in Developing High Quality Solutions to Mathematical Problems.
.- 7. Summary.

Dettagli sul prodotto

• Autori: Pete Bettinger
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 01.09.2025
• EAN: 9783031894312
• ISBN: 978-3-0-3189431-2
• Pagine: 270
• Illustrazioni: XXVII, 270 p. 75 illus., 60 illus. in color.
• Serie: Springer Texts in Business and Economics
• Categorie: Scienze sociali, diritto, economia > Economia > Management; Geowissenschaften, Geographie, Umwelt, Planung, Management spezifischer Bereiche, Operations Management, Logistics, Tabu Search, Earth and Environmental Sciences, forest management, Simulated annealing, Optimization Methods, heuristic search, Forest harvest scheduling, Genetic algortihms, Harvest scheduling search behavior, Wood flow issues, Threshold accepting heuristic process, forest planning, Binary search process, Random search, Hill-climbing