A5088271989- Advanced Multi-Objective Optimization Algorithms
- Water resources management and optimization
- Multi-Criteria Decision Making
- Advanced Optimization Algorithms Research
- Complex Systems and Decision Making
- Optimization and Mathematical Programming
- Aquatic and Environmental Studies
- Aerospace Engineering and Control Systems
- Optimization and Variational Analysis
- Advanced Theoretical and Applied Studies in Material Sciences and Geometry
- Reservoir Engineering and Simulation Methods
- Probabilistic and Robust Engineering Design
- Matrix Theory and Algorithms
- Mathematical Control Systems and Analysis
- Water Resources and Management
- Advanced Control Systems Optimization
- Modeling, Simulation, and Optimization
- Differential Equations and Numerical Methods
- Simulation Techniques and Applications
- Heat Transfer and Mathematical Modeling
- Forest Management and Policy
- Differential Equations and Boundary Problems
- Forest Biomass Utilization and Management
- Climate Change Policy and Economics
- Water Quality and Pollution Assessment
Russian Academy of Sciences
2003-2023
Dorodnitsyn Computing Centre
2007-2021
Computing Center
2001-2021
Lomonosov Moscow State University
2004-2013
National Research University Higher School of Economics
2003-2007
Moscow State University
2007
Rural Resources
2002
Institute of Mathematical Problems of Biology
1998
Decision making in modern forest management planning is challenged by the need to recognize multiple ecosystem services and address preferences goals of stakeholders. This research presents an innovative a posteriori preference modeling multi-objective integer optimization (MOIP) approach encompassing programming models new technique for generation interactive visualization Pareto frontier. Due complexity size our problems, decomposition was used build frontier general problem using...
In this paper, we bring together two existing methods for solving multiobjective optimization problems described by nonlinear mathematical models and create that benefit from both heir strengths. We use the Feasible Goals Method NIMBUS method to form new hybrid approaches. The (FGM) is a graphic decision support tool combines ideas of goal programming methods. It based on transformation numerical information given into variety feasible criterion vectors (that is, goals). Visual interactive...
Abstract This research addresses the problem of forested landscape management planning in contexts characterized by multiple ecosystem services and stakeholders. A new methodology for participatory landscape-level forest is proposed. Specifically, a bilevel representation used, whereas models subsystems are used constructing an integrated model master problem. Participatory workshops interactive visualization Pareto frontier to support solution multi-objective optimization upper- lower-level...
Abstract The paper describes the concept of Internet tools that may help implementing a democratic paradigm environmental decision making, which is based on desire to involve lay stakeholders into process making. It clear usually have minimal knowledge ways how solve problems. gap among and actions be extremely dangerous. In this we propose visualization‐based can study problems base their better understanding issues. are multi‐criteria exploration whole variety possible alternatives helps...
This paper is devoted to a laboratory study of human behavior in multi-criteria choice problem. The specific feature the experimental creation an individually adjusted instance general task for each subject accordance with his/her preferences over criterion. Human studied specially constructed situation based on decomposition alternatives procedure multiple steps pair-wise comparisons involving only some (two or three) original components alternatives. Abilities subjects use such and answer...
A decision support system (DSS) devoted to water–quality planning is described. The DSS based on a graphic multiple–criteria technique called generalized reachable sets (GRS) method, which provides experts and makers with objective tradeoff curves among cost pollution criteria. information improves their understanding of the problem helps identify wastewater treatment strategies that provide reasonable balance between pollution. These are starting points for further negotiation governmental...