Results 241 to 249 of about 2,015 (249)
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Pareto-Dominance Based MOGP for Evolving Soccer Agents
2015 IEEE Symposium Series on Computational Intelligence, 2015Robot behaviour generation is an attractive option to automatically produce robot controllers. Most high-level robot behaviours comprise multiple objectives that may be conflicting with each other. This research describes experiments using two Pareto-dominance based algorithms together with a Multiobjective Genetic Programming (MOGP) framework to ...
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Pareto Dominance-Based Approach for the Component Selection Problem
2008 Second UKSIM European Symposium on Computer Modeling and Simulation, 2008Component selection is a crucial problem in component based software engineering (CBSE). CBSE is concerned with the assembly of pre-existing software components that leads to a software system that responds to client-specific requirements. We are approaching the component selection problem.
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The Pareto domination of irrational expectations over rational expectations
Journal of Economic Theory, 1988A simple overlapping generations economy, à la Samuelsen, with one consumer in every generation and with one consumption good in every period, and a fixed stock of outside money, is considered. It is shown that a sequence of temporary economic equilibria which emerges when economic agents predict future prices using an ``irrational'' inelastic ...
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Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits
Proceedings of the AAAI Conference on Artificial IntelligenceMulti-objective Stochastic Linear bandit (MOSLB) plays a critical role in the sequential decision-making paradigm, however, most existing methods focus on the Pareto dominance among different objectives without considering any priority. In this paper, we study bandit algorithms under mixed Pareto-lexicographic orders, which can reflect decision makers'
Ji Cheng +3 more
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Dominance between combinations of infinite-mean Pareto random variables
We study stochastic dominance between portfolios of independent and identically distributed (iid) extremely heavy-tailed (i.e., infinite-mean) Pareto random variables. With the notion of majorization order, we show that a more diversified portfolio of iid extremely heavy-tailed Pareto random variables is larger in the sense of first-order stochastic ...Chen, Yuyu +3 more
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A COMPARISON OF PARETO OPTIMALITY AND DOMINATION STRUCTURE
Metroeconomica, 1976openaire +2 more sources
VISUALIZATION TECHNIQUE FOR ANALYZING NON-DOMINANT PARETO OPTIMALITY
2004Kiam Heong Ang, Gregory Chong, Yun Li
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Geometric containment is not reducible to Pareto dominance
2005N. Santoro +3 more
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