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Hyper-heuristic
Results: 41

#	Item
31	Evaluation of a family of reinforcement learning cross-domain optimization heuristics Luca Di Gaspero and Tommaso Urli DIEGM, Universit‡ degli Studi di Udine via delle Scienze 208 – I-33100, Udine, Italy luca.digaspe Add to Reading List Source URL: tunnuz.net Language: English - Date: 2014-09-12 00:58:22 Operations research Mathematical optimization Computational neuroscience Reinforcement learning Hyper-heuristic Perceptron Multilayer perceptron Artificial neural network Heuristic function Neural networks Machine learning Heuristics
32	Goals The Cross-Domain Heuristic Search Challenge Our algorithm Future work Questions? References Add to Reading List Source URL: tunnuz.net Language: English - Date: 2014-09-12 00:58:21 Operations research Reinforcement learning Mathematics Algorithm Applied mathematics Innovation Heuristics Mathematical optimization Hyper-heuristic
33	Riccardo Poli’s Curriculum Vitae February 2014 Synopsis Born: May 31, 1961 Add to Reading List Source URL: cswww.essex.ac.uk Language: English - Date: 2014-07-09 05:22:00 Evolutionary algorithms Operations research Cybernetics Science Riccardo Poli Computer science Genetic programming Evolutionary computation Hyper-heuristic Mathematical optimization Year of birth missing Applied mathematics
34	Editor : Dr Graham Kendall School of Computer Science and IT Cutting Machine photograph courtesy of Esprit Automation Ltd. Add to Reading List Source URL: www.asap.cs.nott.ac.uk Language: English - Date: 2012-03-24 15:11:14 Mathematics Mathematical optimization Cybernetics Heuristics Planning Hyper-heuristic Graham Kendall Memetic algorithm Genetic algorithm Operations research Applied mathematics Theoretical computer science
35	School of Computer Science and IT Editor: Dr Jon Garibaldi Automated Scheduling, Optimisation and Planning (ASAP) Research Group School of Computer Science and Information Technology The University of Nottingham Add to Reading List Source URL: www.asap.cs.nott.ac.uk Language: English - Date: 2012-03-24 15:11:14 Applied mathematics Mathematical optimization Reasoning Problem solving Automated theorem proving Hyper-heuristic Graham Kendall Memetic algorithm Reasoning system Science Operations research Artificial intelligence
36	School of Computer Science and IT Automated Scheduling, Optimisation and Planning (ASAP) Research Group Research Report 2003 – 2004 Add to Reading List Source URL: www.asap.cs.nott.ac.uk Language: English - Date: 2012-03-24 15:11:14 Mathematical optimization Theoretical computer science Mathematics Hyper-heuristic NP-complete problems Problem solving Memetic algorithm Genetic algorithm Search algorithm Operations research Applied mathematics Heuristics
37	School of Computer Science Automated Scheduling, Optimisation and Planning (ASAP) Research Group Research Report[removed] Add to Reading List Source URL: www.asap.cs.nott.ac.uk Language: English - Date: 2012-03-24 15:11:14 Applied mathematics Hyper-heuristic Neuropsychological assessment Science Mathematics Problem solving Travelling salesman problem Graham Kendall Scheduling Operations research Heuristics Mathematical optimization
38	School of Computer Science Automated Scheduling, Optimisation and Planning (ASAP) Research Group Research Report[removed] Add to Reading List Source URL: www.asap.cs.nott.ac.uk Language: English - Date: 2012-04-25 03:59:08 Mathematics Theoretical computer science Mathematical optimization Hyper-heuristic NP-complete problems Graham Kendall Travelling salesman problem Bin packing problem Scheduling Operations research Heuristics Applied mathematics
39	School of Computer Science and IT Automated Scheduling, Optimisation and Planning (ASAP) Research Group Research Report 2005 – 2006 Add to Reading List Source URL: www.asap.cs.nott.ac.uk Language: English - Date: 2012-05-02 05:07:31 Mathematical optimization Heuristics Theoretical computer science Planning Hyper-heuristic NP-complete problems Genetic algorithm Bin packing problem Heuristic function Operations research Applied mathematics Mathematics
40	A GRASP-KNAPSACK HYBRID FOR A NURSE-SCHEDULING PROBLEM MELISSA D. GOODMAN1, KATHRYN A. DOWSLAND1,2,3 AND JONATHAN M. THOMPSON1* Add to Reading List Source URL: www.cardiff.ac.uk Language: English - Date: 2011-03-24 11:18:07 Mathematics Science Local search Ant colony optimization algorithms Hyper-heuristic Genetic algorithm Heuristic Nursing Optimization problem Operations research Mathematical optimization Applied mathematics

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