Seminar Program 2009
- 4.2. General discussion
- 11.2. Videon Täydellisen elämän yhtälö katsominen
- 12.2. Kaisa Miettinen Nautilus Method: An Interactive Technique
in Multiobjective Optimization Based on the Nadir Point
- 17.2. Watching video: Randolph Nesse — interview from The
Genius of Charles Darwin
- 19.2. Karthik Sindhya Past and Present Research; Reflections of
Hybrid Evolutionary Multiobjective Optimization
- 20.2. Antti Tanskanen Optimization in Practice, elämän
optimointia tutkimuksen sekatyöläisenä
- 5.3. Sauli Ruuska Multiobjective Test Problem Family for Bilevel
Optimization
- 25.3. Petri Eskelinen Some Perspectives to Multiobjective
Optimization Problems with a Large Number of Objectives
- 9.4. Jussi Hakanen Comparison of MCDM and EMO Approaches in
Wastewater Treatment Plant Design
- 23.4. Johan Henriksson, Bram Van Der Heggen (LMS International,
Leuven, Belgium) Introduction to LMS and Optimus Software
- 30.4. Markus Hartikainen An Approximation Approach for
Multiobjective Optimization Problems
- 18.5. Workshop on Research Plan and Poster Preparation
- 20.5. Suvi Luoma Some Component Sketches for the Adaptive User
Interface Concept for Data Analysis and Multiobjective Optimization,
Vesa Ojalehto Overview of Development Tools to Support Work in the
Optimization Group
- 25.5. Timo Aittokoski UPS-EMO
— An Efficient Evolutionary Method to Approximate the Pareto Optimal
Set in Multiobjective Optimization
- 1.-2.6. Noon-to-noon Seminar (Photos)
- Ankur Sinha (Helsinki School of Economics/IIT Kanpur, India)
Bilevel Evolutionary Multiobjective Optimization
- Akash Agarwal (Åbo Akademi University/IIT Kharagpur, India)
Blast Furnace Modeling and Optimization using Neural Networks and
Genetic Algorithms
- Vesa Ojalehto An Outline of NIMBUS-Software
- Tomi Haanpää An Updated Definition for the Pareto
Optimality
- Shyam Kodali (Helsinki School of Economics/IIT Kanpur, India)
Comparing GA with MART to Tomographic Reconstruction of Ultrasound
Images with and without Noisy Input Data
- Karthik Sindhya An improved Concurrent-Hybrid Algorithm for
Enhanced Diversity and Accuracy in Evolutionary Multi-Objective
Optimization
- Suvi Tarkkanen Some Components for the Adaptive User
Interface Concept for Data Analysis and Multiobjective Optimization
- 11.6. Tomi Haanpää Some Wild Things of Polynomials
- 4.8. Lorenz Biegler (Carnegie Mellon University, USA) Challenges of
Process Modeling and Optimization
- 24.8. Margaret Wiecek My Recent Developments in Multiobjective
Programming with Applications in Engineering Design
- 31.8. Kerstin Dächert (Bergische Universität Wuppertal, Germany)
BMBF-project: Discrete-continuous optimization of complex dynamic systems
of water supply and wasterwater management,
Sauli Ruuska MATLAB Implementation of the Walking Fish Group (WFG)
Test Problem Set
- 7.9. Karthik Sindhya A Hybrid EMO Algorithm with Enhanced
Diversity Preservation,
Petri Eskelinen Uncertainty Through Scenarios in Multiobjective
Optimization
- 14.9. Markus Hartikainen On Approximating a Pareto Front Based
on a Representation,
Tomi Haanpää A Gentle Touch to RBF Models and Applications
- 28.9. Suvi Tarkkanen Research Overview,
Vesa Ojalehto Pareto Navigator: Current Implementation Status
- 5.10. Jussi Hakanen An Introduction to Research After PhD,
Margaret Wiecek Design Under Uncertainty: Balancing Expected
Performance and Risk
- 26.10. Timo Aittokoski Means to Explore the Set of Nondominated
Solutions
- 2.11. Conference Trip Planning
- 10.11. Georges Fadel (Clemson University, USA) Optimization
and complex systems design — the packaging / layout problem
- 18.11. Helena Rasku-Puttonen Learning and Knowledge Creation
- 23.11. Preparation of brochure of the research group
- 1.12. Murat Köksalan (Middle East Technical University, Turkey)
Approximating the Nondominated Set for Multi-criteria Problems
- 7.12. Ferrante Neri Recent Advances in Differential
Evolution
- 10.12. Timo Laukkanen (Helsinki University of Technology) Modelling,
simulation and optimization of energy systems at ENY
- 15.12. Michael Monz (Fraunhofer-ITWM, Germany) Multi-Criteria
IMRT Planning
- 18.12. Jari Huikari Constraint Handling of Global Solvers in
NIMBUS
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