Efficient thinning regimes for Eucalyptus fastigata: Multi-objective stand-level optimisation using the island model genetic algorithm

Chikumbo, Oliver; Nicholas, Ian

doi:10.1016/j.ecolmodel.2011.03.004

Cited by 6 publications

(12 citation statements)

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“…Future development of these models is likely to see much greater and more sophisticated use of such techniques, including the use of the so-called 'genetic evolution' algorithm for stochastic constrained optimisation (e.g. Chikumbo and Nicholas 2009;Chikumbo 2011). However, in most cases the treatment of risk and uncertainty is idiosyncratic rather than systematic.…”

Section: Ferguson 185mentioning

confidence: 98%

Assessing sustainability in certification schemes

Ferguson

2013

Australian Forestry

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This paper aims to provide guidance as to how better to assess sustainability in certification schemes, such as the Australian Forestry Standard, and to provide suggestions for related changes to certification guidelines.The meaning of sustainability in relation to forestry and the principles underpinning sustainability and the calculation of sustained yield are examined to see how best they can be assessed in certification schemes, given the complexities of temporal and spatial change. To be useful in certification, such principles need to be capable of translation into auditable features, be they qualitative or quantitative. They also need to recognise the realities of demand and supply movements, landscape change, natural disasters, technological change and risk management. Forestry Tasmania's sustainable yield planning provides a case study that illuminates some of these issues, including the associated process of risk management.The sustainability of jointly supplied environmental goods and services (e.g. wood and biodiversity) is more difficult to assess but also needs to be capable of audit-often involving, among other things, spatial assessment of conditions such as species diversity, fragmentation and connectedness and application of the precautionary principle.

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Section: Ferguson 185mentioning

confidence: 98%

Assessing sustainability in certification schemes

Ferguson

2013

Australian Forestry

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“…Chikumbo and Nicholas [2] formulated a stand-level optimisation problem to determine a set of efficient thinning regimes. Each regime defined an initial planting stocking, frequency of thinning, timing of thinning, intensity of thinning, final crop number prior to clearfelling, and rotation length.…”

Section: Introductionmentioning

confidence: 99%

“…An ability to provide all products at the markets with the flexibility of meeting an increased supply of the product most in demand requires a different tact to forest management. Chikumbo and Nicholas [2] demonstrated how to determine a set of efficient thinning regimes that are suitable for both volume and value production in different ratios or "tradeoff," where the choice of a single regime was made on the basis of the product most in demand.…”

Section: Introductionmentioning

confidence: 99%

“…The island model formulation is not sufficient to offset this genetic drift or avoid loss of diversity. Chikumbo and Nicholas [2] had no notion of the inability of MOGA to prevent "crowding" (i.e., inability to maintain diversity and encourage a good spread of solutions), in their first attempt at estimating efficient thinning regimes for E. fastigata. The more generations the algorithm was run, the more the Pareto front points exhibited crowding resulting in points superimposed on each other on certain subregions of the Pareto front.…”

Section: Introductionmentioning

confidence: 99%

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Using Different Approaches to Approximate a Pareto Front for a Multiobjective Evolutionary Algorithm: Optimal Thinning Regimes forEucalyptus fastigata

Chikumbo

2012

International Journal of Forestry Research

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A stand-level, multiobjective evolutionary algorithm (MOEA) for determining a set of efficient thinning regimes satisfying two objectives, that is, value production for sawlog harvesting and volume production for a pulpwood market, was successfully demonstrated for aEucalyptus fastigatatrial in Kaingaroa Forest, New Zealand. The MOEA approximated the set of efficient thinning regimes (with a discontinuous Pareto front) by employing a ranking scheme developed by Fonseca and Fleming (1993), which was a Pareto-based ranking (a.k.a Multiobjective Genetic Algorithm—MOGA). In this paper we solve the same problem using an improved version of a fitness sharing Pareto ranking algorithm (a.k.a Nondominated Sorting Genetic Algorithm—NSGA II) originally developed by Srinivas and Deb (1994) and examine the results. Our findings indicate that NSGA II approximates the entire Pareto front whereas MOGA only determines a subdomain of the Pareto points.

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“…After the introduction of the major heuristic algorithms such as simulated annealing [42] and tabu search [43] in the 1980s, several researchers have incorporated these algorithms into forest stand-level optimization problems, though most of the application have been found in forest-level harvest scheduling optimization. A genetic algorithm was applied in Chikumbo and Nicholas [44], while Eriksson [45] used simulated annealing in addition to NLP with the gradient method. Tabu search was also used in Wikström [46].…”

Section: Heuristics Technique or Meta Modelsmentioning

confidence: 99%

Stand-Level Forest Management Planning Approaches

2016

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Seeking an optimal operational regime under different management environments has been one of the main concerns of forest managers. Traditionally, the main operational regime includes planting density or regeneration scheme, thinning time/intensity, and optimal time to harvest over the given time horizon. Deterministic approaches to tackle this type of optimization problem with different controls have dominated the solution techniques in forestry literature. We present in this paper an overview of the methodologies used in stand-level optimization, in which we show the strengths and weaknesses of these methodologies as well as provide comments on the effectiveness of the methodology. We then propose a new dynamic programing approach for generalizing solution specification and techniques.

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Efficient thinning regimes for Eucalyptus fastigata: Multi-objective stand-level optimisation using the island model genetic algorithm

Cited by 6 publications

References 15 publications

Assessing sustainability in certification schemes

Assessing sustainability in certification schemes

Using Different Approaches to Approximate a Pareto Front for a Multiobjective Evolutionary Algorithm: Optimal Thinning Regimes forEucalyptus fastigata

Stand-Level Forest Management Planning Approaches

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