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» On Using Populations of Sets in Multiobjective Optimization
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GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
15 years 4 months ago
Configuration of a genetic algorithm for multi-objective optimisation of solar gain to buildings
We report the formulation and implementation of a genetic algorithm to address multi-objective optimisation of solar gain to buildings with the goal of minimising energy consumpti...
Ralph Evins
COR
2010
121views more  COR 2010»
14 years 12 months ago
A multi-objective approach for robust airline scheduling
We present a memetic approach for multi-objective improvement of robustness influencing features (called robustness objectives) in airline schedules. Improvement of the objectives...
Edmund K. Burke, Patrick De Causmaecker, Geert De ...
ADBIS
2004
Springer
124views Database» more  ADBIS 2004»
15 years 5 months ago
Database Caching - Towards a Cost Model for Populating Cache Groups
Web caching keeps single Web objects ready somewhere in caches in the user-to-server path, whereas database caching uses fullfledged database management systems as caches to adapt...
Theo Härder, Andreas Bühmann
CEC
2008
IEEE
15 years 6 months ago
Scalarization versus indicator-based selection in multi-objective CMA evolution strategies
Abstract—While scalarization approaches to multicriteria optimization become infeasible in the case of many objectives, for few objectives the benefits of populationbased method...
Thomas Voß, Nicola Beume, Günter Rudolp...
ECAI
2010
Springer
15 years 26 days ago
On Finding Compromise Solutions in Multiobjective Markov Decision Processes
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...
Patrice Perny, Paul Weng