A5011223767- Advanced Multi-Objective Optimization Algorithms
- Forest Management and Policy
- Advanced Control Systems Optimization
- Probabilistic and Robust Engineering Design
- Optimal Experimental Design Methods
- Conservation, Biodiversity, and Resource Management
- Forest Ecology and Biodiversity Studies
- Forest ecology and management
- Process Optimization and Integration
- Remote Sensing and LiDAR Applications
- Formal Methods in Verification
- Risk and Safety Analysis
- Educational Environments and Student Outcomes
- Economic and Environmental Valuation
- Software Reliability and Analysis Research
- Bioenergy crop production and management
- Online and Blended Learning
- Computational Geometry and Mesh Generation
- Forest Biomass Utilization and Management
- Flexible and Reconfigurable Manufacturing Systems
- Radiation Effects in Electronics
- Geology and Paleoclimatology Research
- Cognitive Science and Mapping
- Decision-Making and Behavioral Economics
- Water Systems and Optimization
University of Jyväskylä
2011-2019
Fortum (Finland)
2014-2017
Information Technology University
2013-2015
Various national policies guide forest use, but often with competing policy objectives leading to divergent management paradigms. Incoherent may negatively impact the sustainable provision of ecosystem services (FES), and multifunctionality. There is uncertainty among policymakers about impacts on real world. We translated documents Finland into scenarios including quantitative demands for FES, representing: strategy (NFS), biodiversity (BDS), bioeconomy (BES). simulated a Finland-wide...
Abstract The European Union (EU) set clear climate change mitigation targets to reach neutrality, accounting for forests and their woody biomass resources. We investigated the consequences of increased harvest demands resulting from EU targets. analysed impacts on national policy objectives forest ecosystem services biodiversity through empirical simulation multi-objective optimization methods. show that key timber-producing countries – Finland, Sweden, Germany (Bavaria) cannot fulfil linked...
To mitigate climate change, several European countries have launched policies to promote the development of a renewable resource-based bioeconomy. These bioeconomy strategies plan use biological resources, which will increase timber and biomass demands potentially conflict with multiple other ecosystem services provided by forests. In addition, these forest (FES) are also influenced other, different, policy strategies, causing potential mismatch in proposed management solutions for achieving...
European countries have national sectoral polices to regulate and promote the provision of a wide range forest ecosystems services (FES). However, potential incoherencies among these policies can negatively affect efficient FES. In this work, we evaluated coherence three from Germany their ability effectively provide FES in future: Forest Strategy 2020 (FS), National on Biological Diversity (BDS), German Policy Bioeconomy (BES). Using inventory data Federal State Bavaria, simulated...
In this paper, we present an approach employing multiobjective optimization to support decision making in forest management planning under risk. The primary objectives are biodiversity and timber cash flow, evaluated from two perspectives: the expected value value-at-risk (VaR). addition, risk level for both flow values included as objectives. With our approach, highlight trade-off between VaR, well VaRs of interest. We employ interactive method which a maker iteratively provides preference...
In many recent studies, the value of forest inventory information in harvest scheduling has been examined. Usually only profitability measuring simultaneously all stands area is Yet, it may be more profitable to concentrate measurement efforts some subset them. this paper, authors demonstrate that stochastic optimization can used for defining optimal strategy with decisions. The results show without end-inventory constraints, was most measure were just below medium age. Measuring oldest not...
A classroom with a blackboard and some rows of desks is obsolete in special education.Depending on the needs, students may need more tactile inspiring surroundings various pedagogical accessories while others benefit from simplified environment without unnecessary stimuli.This understanding applied to new Finnish education school building open adaptable learning spaces.We have joined initiative creation process by developing software support for these spaces form space management...
In many recent studies, the value of forest inventory information in harvest scheduling has been examined. a previous paper, we demonstrated that making measurement decisions for stands which decision is uncertain simultaneously with may be highly profitable. study, quality additional measurements was not variable, and only options were between no or measuring perfect information. this introduce data into problem, i.e., decisionmaker can select imperfect measurements. The obtained specific...
Using an interactive multiobjective optimization method called NIMBUS and approximation PAINT, preferable solutions to a five-objective problem of operating wastewater treatment plant are found. The decision maker giving preference information is expert in design at the engineering company Pöyry Finland Ltd. computationally expensive requires running simulator evaluate values objective functions. This often leads problems with methods as may get frustrated while waiting for new be computed....
Real-world optimization problems may involve a number of computationally expensive functions with large input variables. Metamodel-based methods can reduce the computational costs evaluating functions, but this does not dimension search domain nor mitigate curse dimensionality effects. The be reduced by functional anova decomposition involving Sobol' sensitivity indices. This approach allows one to rank decision variables according their impact on objective function values. On basis sparsity...