Learning Evaluation Functions for Global Optimization and Boolean Satisfiability

This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems. STAGE learns an evaluation function which predicts the outcome of a local search algorithm, such as hillclimbing or WALKSAT, as a function of state features along its search trajectories. The learned evaluation function is used to bias future search trajectories toward better optima. We present positive results on six large-scale optimization domains.

[1]  D. F. Wong,et al.  Simulated Annealing for VLSI Design , 1988 .

[2]  S. Webb.  Optimization by simulated annealing of three-dimensional conformal treatment planning for radiation fields defined by a multileaf collimator. , 1991, Physics in medicine and biology.

[3]  Alain Delchambre,et al.  A genetic algorithm for bin packing and line balancing , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[4]  Bart Selman,et al.  Local search strategies for satisfiability testing , 1993, Cliques, Coloring, and Satisfiability.

[5]  Emilian Stephen Ochotta.  Synthesis of high-performance analog cells in ASTRX/OBLX , 1994 .

[6]  Andrew B. Kahng,et al.  A new adaptive multi-start technique for combinatorial global optimizations , 1994, Oper. Res. Lett..

[7]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[8]  Jonathan Cagan,et al.  A Simulated Annealing-Based Approach to Three-Dimensional Component Packing , 1995 .

[9]  Olivier C. Martin,et al.  Combining simulated annealing with local search heuristics , 1993, Ann. Oper. Res..

[10]  Nir Friedman,et al.  Learning Bayesian Networks with Local Structure , 1996, UAI.

[11]  Wei Zhang,et al.  Reinforcement learning for job shop scheduling , 1996 .

[12]  Nir Friedman,et al.  On the Sample Complexity of Learning Bayesian Networks , 1996, UAI.

[13]  Mary P. Harper,et al.  An efficient lower bound algorithm for channel routing , 1996, Integr..

[14]  David Unwin,et al.  Visualization In Geographical Information Systems , 1996 .

[15]  Edward G. Coffman,et al.  Approximation algorithms for bin packing: a survey , 1996 .

[16]  Dorit S. Hochbaum,et al.  Approximation Algorithms for NP-Hard Problems , 1996 .

[17]  Bart Selman,et al.  Evidence for Invariants in Local Search , 1997, AAAI/IAAI.

[18]  Andrew W. Moore,et al.  Learning evaluation functions for global optimization , 1998 .

[19]  Tom V. Mathew.  Genetic Algorithm , 2022 .