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Multi-objective optimization
Results: 221

#	Item
41	Approximation Quality of the Hypervolume Indicator Karl Bringmanna , Tobias Friedrichb a Max-Planck-Institut f¨ ur Informatik, Saarbr¨ Add to Reading List Source URL: people.mpi-inf.mpg.de Language: English - Date: 2016-01-03 06:48:16 Computational complexity theory Approximation algorithm Multi-objective optimization Multiplicative inverse Optimization problem Asymptotic analysis
42	Journal of Artificial Intelligence Research Submitted 3/13; publishedA Survey of Multi-Objective Sequential Decision-Making Diederik M. Roijers Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-04 20:03:22 Operations research Dynamic programming Mathematical optimization Equations Decision theory Reinforcement learning Markov decision process Bellman equation Policy Partially observable Markov decision process
43	SEAL’08 Program Program at a glance December 7, Sunday 8:30 – 17:30 Registration at Lobby, ICT Building, 111 Barry Street. Add to Reading List Source URL: www.cs.rmit.edu.au Language: English - Date: 2008-11-16 23:13:26 Mathematical optimization Cybernetics Evolution Heuristics Evolutionary computation Genetic algorithm Multi-objective optimization Swarm intelligence Evolutionary algorithm Extremal optimization Grammatical evolution Kalyanmoy Deb
44	Tight Bounds for the Approximation Ratio of the Hypervolume Indicator Karl Bringmann1 and Tobias Friedrich2 1 2 Add to Reading List Source URL: people.mpi-inf.mpg.de Language: English - Date: 2016-01-03 06:45:12 Mathematical optimization Computational complexity theory Multi-objective optimization Approximation algorithm Approximation theory Pareto efficiency Valuation
45	Approximation-Guided Evolutionary Multi-Objective Optimization Karl Bringmann1 , Tobias Friedrich1 , Frank Neumann2 , Markus Wagner2 Max-Planck-Institut f¨ur Informatik, Campus E1.4, 66123 Saarbr¨ucken, Germany 2 Schoo Add to Reading List Source URL: people.mpi-inf.mpg.de Language: English - Date: 2016-01-03 06:45:26 Mathematical optimization Cybernetics Computational complexity theory Evolution Operations research Multi-objective optimization Algorithm Evolutionary algorithm Approximation algorithm CMA-ES Genetic algorithm Evolutionary computation
46	Generic Postprocessing via Subset Selection for Hypervolume and Epsilon-Indicator? Karl Bringmann1 , Tobias Friedrich2 , and Patrick Klitzke3 1 Max Planck Institute for Informatics, Saarbr¨ Add to Reading List Source URL: people.mpi-inf.mpg.de Language: English - Date: 2016-01-03 06:46:44 Mathematical optimization Cybernetics Evolution Operations research Genetic algorithms Multi-objective optimization Evolutionary algorithm Pareto efficiency Evolutionary computation Reduction Fitness function
47	Speeding Up Many-Objective Optimization by Monte Carlo Approximations Karl Bringmanna , Tobias Friedrichb,∗, Christian Igelc , Thomas Voßd a Max-Planck-Institut f¨ Add to Reading List Source URL: people.mpi-inf.mpg.de Language: English - Date: 2016-01-03 06:48:08 Mathematical optimization Operations research Computational complexity theory Evolution Multi-objective optimization CMA-ES Approximation algorithm Exact algorithm Multiple-criteria decision analysis Algorithm Evolutionary algorithm Pareto efficiency
48	Microsoft Word - IBSDM&BI.doc Add to Reading List Source URL: foibg.com Language: English - Date: 2015-02-02 08:46:32 Mathematical optimization Multi-objective optimization AMPL Multiple-criteria decision analysis Multidisciplinary design optimization
49	Table of Contents Formula Prediction using Genetic Algorithms / 1 Namir Aldawoodi and Rafael Perez Building-Block Identification by Simultaneity Matrix / 7 Chatchawit Aporntewan and Prabhas Chongstitvatana An Evolutionar Add to Reading List Source URL: www.sigevo.org Language: English - Date: 2013-10-03 16:18:20 Mathematical optimization Evolutionary algorithms Cybernetics Genetic algorithms Operations research Evolutionary computation Genetic programming Fitness function Global optimization Multi-objective optimization Grammatical evolution Particle filter
50	Searching for Good and Diverse Game Levels Mike Preuss Antonios Liapis Julian Togelius Add to Reading List Source URL: antoniosliapis.com Language: English - Date: 2014-12-01 05:18:54 Mathematical optimization Cybernetics Genetic algorithm Multi-objective optimization Evolutionary multimodal optimization Evolutionary computation Global optimization Cluster analysis Machine learning Evolutionary algorithm Search algorithm Algorithm

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