Single versus multiple objective genetic algorithms for solving the even-flow forest management problem

Forest Ecology and Management

Volumn 201, Issue 2-3, 2004, Pages 259-273

  Ducheyne, Els I ^a   De Wulf, Robert R ^a   De Baets, Bernard ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

Even flow scheduling; Genetic algorithm; Multi objective optimisation

Indexed keywords

EXPERIMENTAL FORESTS; SCHEDULING PROBLEMS; SIMULATION RUN;

COMPUTER SIMULATION; DECISION MAKING; GENETIC ALGORITHMS; HARVESTING; OPTIMIZATION; PROBLEM SOLVING;

FORESTRY;

FOREST MANAGEMENT; GENETIC ALGORITHM; HARVESTING;

ALGORITHMS; DECISION MAKING; FORESTRY; HARVESTING; OPTIMIZATION; PROBLEM SOLVING; SIMULATION;

EID: 4744350444     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2004.07.012     Document Type: Article

References (24)

1. Anonymous, 2000, Gemiddelde Prijzen van Hout op Stam, Houthandel en nijverheid, vol. 5-5.
2. Bäck T., Fogel D.B., Whitley D., Angeline P.J., Bäck T., Fogel D.B., and Michalewicz Z. Mutation, Handbook of Evolutionary Computation vol. C3.2:1-C3.2:14 1997 IOP Publishing Ltd./Oxford University Press Bristol/Oxford
3. Borges J.G., and Hoganson H.M. Assessing the impact of management unit design and adjacency constraints on forestwide spatial conditions and timber revenues Can. J. For. Res. 29 1999 1764 1774
4. Cameron, A., 2000. Inventory Data Kirkhill Forest.
5. Davis L. Handbook of Genetic Algorithms 1991 Van Nostrand Reinhold USA, New York
6. Deb K. Multi-Objective Optimization Using Evolutionary Algorithms 2001 Wiley and Sons Chichester, UK
7. Deb K., Agrawal S., Pratab A., and Meyarivan T. A fast and elitist multiobjective genetic algorithm: NSGA-II IEEE Transact. Evolution. Comput. 6 2 2002 182 197
8. Ducheyne E.I., De Baets B., and De Wulf R.R. Is fitness inheritance really useful for real-world applications Fonseca C.M. Fleming P.J. Zitzler E. Deb K. Thiele L. Lecture Notes in Computer Science 2632: Evolutionary Multi-Criterion Optimization Second International Conference, EMO'03, vol. 31-43 2003 Springer-Verlag Berlin
9. Falcao A.O., and Borges J.G. Designing an evolution program for solving integer forest management scheduling models: an application in Portugal Second International Conference, EMO'03, vol. 31-43 For. Sci. 47 2 2001 158 168
10. Fonseca C.M., and Fleming P.J. An overview of evolutionary algorithms in multiobjective optimization Evolution. Comput. 3 1 1995 1 16
11. Goldberg D.E. Genetic Algorithms in Search, Optimization and Machine Learning 1989 Addison-Wesley USA
12. Hamilton G.J., and Christie J.M. Forest Management Tables. Forestry Commission Booklet No 34 1971 Her Majesty's Stationery Office London, UK
13. Hof J.G., and Joyce L.A. A mixed integer linear programming approach for spatially optimizing wildlife and timber in managed forest ecosystems For. Sci. 39 4 1993 816 834
14. Hoganson H.M., and Rose D.W. A simulation approach for optimal timber management scheduling For. Sci. 44 4 1984 526 538
15. Holland J.H. Adaptation in Natural and Artificial Systems 1975 University of Michigan Press Ann Arbor
16. Johnson K.N., and Scheurman H.L. Techniques for prescribing optimal timber harvest and investments under different objectives - discussion and synthesis For. Sci. Monogr. 18 4 1977 31
17. Lockwood C., and Moore T. Harvest scheduling with spatial constraints: a simulated annealing approach Can. J. For. Res. 23 4 1993 468 478
18. Matthews K.B., Craw S., Elder S., Sibbald A.R., and MacKenzie I. Applying Genetic Algorithms to Multi-Objective Land Use Planning Whitley D. Goldberg D. Cantu-Paz E. Spector L. Parmee I. Beyer H. Proceedings of the 2001 Genetic and Evolutionary Computation Conference San Francisco, CA, 2001 2000 613 620
19. Matthews K.B., Sibbald A.R., and Craw S. Implementation of a spatial decision support system for rural land use planning: integrating geographic information system and environmental models with search and optimisation models San Francisco, CA, 2001 Comput. Electron. Agric. 23 4 1999 9 26
20. Murray A.T., and Church R.L. Measuring the efficacy of adjacency constraint structure in forest planning models Can. J. For. Res. 25 4 1995 1416 1424
21. Snyder S., and Revelle C. Dynamic selection of harvests with adjacency restrictions: the SHARe model For. Sci. 43 2 1997 213 222
22. Snyder S., Tyrrell L.E., and Haight R.G. An optimization approach to selecting research natural areas in national forests For. Sci. 45 3 1999 458 469
23. Tarp P., and Helles F. Spatial optimization by simulated annealing and linear programming Scand. J. For. Res. 12 3 1997 390 402
24. Zitzler E., Deb K., and Thiele L. Comparison of multiobjective evolutionary algorithms: empirical results Evolution. Comput. 8 2 2000 173 195