Eight Heuristic Planning Techniques Applied to Three Increasingly Difficult Wildlife Planning Problems: A Summary

Bettinger, Pete; Sessions, John; Chung, Woodam; Graetz, David; Boston, Kevin

doi:10.1007/978-94-017-0307-9_24

Cited by 4 publications

(2 citation statements)

References 1 publication

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“…Murray and Church 1996;McDill and Braze 2000;Richards and Gunn 2000;Bettinger et al 2002;Boston and Bettinger 2006;Tóth et al 2013), where clear cutting is the only final harvest option, our approach include two final harvest options. It is also important to note that the two final harvest options have different implications for the regeneration costs and regeneration lag (time from harvest to establishment of new forest).…”

Section: Simulationsmentioning

confidence: 99%

Impact of maximum opening area constraints on profitability and biomass availability in forestry – a large, real world case

Borges¹,

Bergseng²,

Eid³

et al. 2015

Silva Fenn.

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• We solved a large and real world near city forestry problem.• The inclusion of maximum open area constraints caused 7.0% loss in NPV.• Solution value at maximum deviated 0.01% from the true optimum value.• The annual energy supply of 20-30 GWh estimated from harvest residues could provide a small, but stable supply of energy to the municipality. AbstractThe nature areas surrounding the capital of Norway (Oslomarka), comprising 1 700 km 2 of forest land, are the recreational home turf for a population of 1.2 mill. people. These areas are highly valuable, not only for recreational purposes and biodiversity, but also for commercial activities.To assess the impacts of the challenges that Oslo municipality forest face in their management, we developed four optimization problems with different levels of management constraints. The constraints consider control of harvest level, guarantee of minimum old-growth forest area and maximum open area after final harvest. For the latter, to date, no appropriate analyses quantifying the impact of such a constraint on economy and biomass production have been carried out in Norway. The problem solved is large due to both the number of stands and number of treatment schedules. However, the model applied demonstrated its relevance for solving large problems involving maximum opening areas. The inclusion of maximum open area constraints caused 7.0% loss in NPV compared to the business as usual case with controlled harvest volume and minimum old-growth area. The estimated supply of 20-30 GWh annual energy from harvest residues could provide a small, but stable supply of energy to the municipality.

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Section: Simulationsmentioning

confidence: 99%

Impact of maximum opening area constraints on profitability and biomass availability in forestry – a large, real world case

Borges¹,

Bergseng²,

Eid³

et al. 2015

Silva Fenn.

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show abstract

“…The computational experience reveals the need to test various heuristic methods for pre-solving the robust models with harvest flow constraints, as in the case of complex spatial harvest scheduling problems (see, for example, [31]). Palma and Nelson [5] also draw attention to the problem of the size of robust programming models, but point out that the models are still linear, which is their greatest advantage.…”

Section: Discussionmentioning

confidence: 99%

The Impact of Assumed Uncertainty on Long-Term Decisions in Forest Spatial Harvest Scheduling as a Part of Sustainable Development

Kašpar

Hlavatý

Kuželka

et al. 2017

Forests

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Abstract:The paper shows how the aspects of uncertainty in spatial harvest scheduling can be embedded into a harvest optimization model. We introduce an approach based on robust optimization that secures better scheduling schematics of the decision maker while eliminating a significant portion of uncertainty in the decisions. The robust programming approach presented in this paper was applied in a real management area of Central Europe. The basic harvest scheduling model with harvest-flow constraints was created. The uncertainty that is assessed here is due to forest inventory errors and growth prediction errors of stand volume. The modelled results were compared with randomly simulated errors of stand volume. The effects of different levels of robustness and uncertainty on harvest-flow were analyzed. The analysis confirmed that using the robust approach for harvest decisions always ensures significantly better solutions in terms of the harvested volume than the worst-case scenarios created under the same constraints. The construction of a mathematical model as well as the methodology of simulations are described in detail. The observed results confirmed obvious advantages of robust optimization. However, many problems with its application in forest management must still be solved. This study helps to address the need to develop and explore methods for decision-making under different kinds of uncertainty in forest management.

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Online/offline evolutionary algorithms for dynamic urban green space allocation problems

Vallejo

Corne

Vargas

2016

Journal of Experimental & Theoretical Artificial Intelligen

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Eight Heuristic Planning Techniques Applied to Three Increasingly Difficult Wildlife Planning Problems: A Summary

Cited by 4 publications

References 1 publication

Impact of maximum opening area constraints on profitability and biomass availability in forestry – a large, real world case

Impact of maximum opening area constraints on profitability and biomass availability in forestry – a large, real world case

The Impact of Assumed Uncertainty on Long-Term Decisions in Forest Spatial Harvest Scheduling as a Part of Sustainable Development

Online/offline evolutionary algorithms for dynamic urban green space allocation problems

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