AbstractWe describe a simple adaptive memory search method for Boolean Optimization Problems. The search balances the level of infeasibility against the quality of the solution, and uses a simple dynamic tabu search mechanism. Computational results on a portfolio of test problems taken from the literature are reported, showing very favorable results, both in terms of search speed and solution quality
This paper reviews the recent literature on solving the Boolean satisfiability problem (SAT), an arc...
Boolean linear programs (BLPs) are ubiquitous in AI. Satisfiability testing, planning with resource ...
AbstractMultiresolution and wavelet-based search methods are suited to problems for which acceptable...
The optimum satisfiability problem involves determining values for Boolean vari- ables to satisfy a ...
The Boolean optimization problem (BOOP) is a highly useful formulation that embraces a variety of 0-...
The Boolean optimization problem (BOOP) is a highly useful formulation that embraces a variety of 0-...
Abstract: This paper puts forth a general method to effectively optimize constrained problems when u...
We describe the main features of tabu search, emphasizing a perspective for guiding a user to widers...
edu Tabu search TS has provided advances for solving dicult optimization problems in many domains ...
Abstract. Recently, several unsatisfiability-based algorithms have been proposed for Maximum Satisfi...
informs ® doi 10.1287/ijoc.1030.0040 © 2004 INFORMS This paper puts forth a general method to optimi...
Abstract — This paper describes the Adaptive Tabu Search algorithm (A-TS), an improved tabu search a...
This paper presents a new approach for parallel tabu search based on adaptive parallelism. Adaptive ...
Tabu search is a Meta heuristic loosely connected to evolutionary computing. It has been used to tac...
The last few years have seen an increasing interest in Boolean Satisfiability (SAT), spurred in part...
This paper reviews the recent literature on solving the Boolean satisfiability problem (SAT), an arc...
Boolean linear programs (BLPs) are ubiquitous in AI. Satisfiability testing, planning with resource ...
AbstractMultiresolution and wavelet-based search methods are suited to problems for which acceptable...
The optimum satisfiability problem involves determining values for Boolean vari- ables to satisfy a ...
The Boolean optimization problem (BOOP) is a highly useful formulation that embraces a variety of 0-...
The Boolean optimization problem (BOOP) is a highly useful formulation that embraces a variety of 0-...
Abstract: This paper puts forth a general method to effectively optimize constrained problems when u...
We describe the main features of tabu search, emphasizing a perspective for guiding a user to widers...
edu Tabu search TS has provided advances for solving dicult optimization problems in many domains ...
Abstract. Recently, several unsatisfiability-based algorithms have been proposed for Maximum Satisfi...
informs ® doi 10.1287/ijoc.1030.0040 © 2004 INFORMS This paper puts forth a general method to optimi...
Abstract — This paper describes the Adaptive Tabu Search algorithm (A-TS), an improved tabu search a...
This paper presents a new approach for parallel tabu search based on adaptive parallelism. Adaptive ...
Tabu search is a Meta heuristic loosely connected to evolutionary computing. It has been used to tac...
The last few years have seen an increasing interest in Boolean Satisfiability (SAT), spurred in part...
This paper reviews the recent literature on solving the Boolean satisfiability problem (SAT), an arc...
Boolean linear programs (BLPs) are ubiquitous in AI. Satisfiability testing, planning with resource ...
AbstractMultiresolution and wavelet-based search methods are suited to problems for which acceptable...