Using Prediction to Improve Combinatorial Optimization Search (1997)


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by Justin A. Boyan , Andrew W. Moore
Venue:In Proc. of 6th Int'l Workshop on Artificial Intelligence and Statistics
Citations:20 - 1 self

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2 Learning Evaluation Functions – Justin A. Boyan, Scott E. Fahlman, Tom Mitchell - 1996
56 Learning Evaluation Functions to Improve Optimization by Local Search – Justin Boyan, Andrew W. Moore, Pack Kaelbling - 2000
59 Learning Evaluation Functions for Global Optimization and Boolean Satisfiability – Justin A. Boyan, Andrew W. Moore - 1998
Learning Evaluation Functions to Improve Local Search – Justin A. Boyan, Andrew W. Moore
17 Value Function Based Production Scheduling – Jeff G. Schneider, Justin A. Boyan, Andrew W. Moore - 1998
1 A Study on Architecture, Algorithms, and Applications of Approximate Dynamic Programming Based Approach to Optimal Control – Jong Min Lee - 2004
33 Hierarchical Learning with Procedural Abstraction Mechanisms – Justinian Rosca - 1997
16 Solving Combinatorial Optimization Tasks by Reinforcement Learning: A General Methodology Applied to Resource-Constrained Scheduling – Wei Zhang, Thomas G. Dietterich - 1998
1 Learning as Applied to Simulated Annealing – Lixin Su, Wray Buntine, Richard Newton
Learning as Applied to Stochastic Optimization for Standard Cell Placement – n.n.
21 Simulated Annealing with Extended Neighbourhood – Xin Yao - 1991
51 Optimal design of a CMOS op-amp via geometric programming – Maria Del Mar Hershenson, Stephen P. Boyd, Thomas H. Lee - 2001
76 A Genetic Local Search Algorithm for Solving Symmetric and Asymmetric Traveling Salesman Problems – Bernd Freisleben, Peter Merz - 1996
54 New Genetic Local Search Operators for the Traveling Salesman Problem – Bernd Freisleben, Peter Merz - 1996
24 Memetic Algorithms for the Traveling Salesman Problem – Peter Merz, Bernd Freisleben - 1997
Solving a unique Shortest Path problem using Ant Colony Optimisation – Daniel Angus
Dynamic Optimization for Optimal Control of Water Distribution Systems – Emre Ertin, Anthony N. Dean, Mathew L. Moore, Kevin L. Priddy
Economics of Distributed Web Search: A Machine Learning Approach – Rinat Khoussainov - 2004
Multi-Agent Reinforcement Learning with Vicarious Rewards – Kevin Irwig, Wayne Wobcke, Martlesham Heath, Ipswich Ip Re