Add to ORKGMuch progress has been made in terms of boosting the effectiveness of backtrack style search methods. In addition, during the last decade, a much better understanding of problem hardness, typical case complexity, and backtrack search behavior has been obtained
Although dynamic backtracking usually outperforms depth first search, its performance can be degrade...
The most advanced implementation of adaptive constraint processing with Constraint Handling Rules (C...
In contrast to the classical theoretical computational complexity point of view summarized in Chapte...
Much progress has been made in terms of boosting the e#ectiveness of backtrack style search methods....
International audienceMuch progress has been made in terms of boosting the effectiveness of backtrac...
We show that a rescaled constrainedness parameter provides the basis for accurate numerical models o...
Much progress has been made in terms of boosting the effectiveness of backtrack style search method...
We introduce our work on the backdoor key, a concept that shows promise for characterizing problem ...
We introduce our work on the backdoor key, a concept that shows promise for characterizing problem h...
We introduce a parameter that measures the 'constrainedness' of an ensemble of combinatorial problem...
AbstractMany recent studies have identified phase transitions from under- to overconstrained instanc...
This paper addresses the following question: what is the essential difference between stochastic loc...
: We analyze two algorithms for solving constraint satisfaction problems. One of these algorithms, P...
International audienceBacktracking search is a complete approach that is traditionally used to solve...
A general rule of thumb is to tackle the hardest part of a search problem first. Many heuristics the...
Although dynamic backtracking usually outperforms depth first search, its performance can be degrade...
The most advanced implementation of adaptive constraint processing with Constraint Handling Rules (C...
In contrast to the classical theoretical computational complexity point of view summarized in Chapte...
Much progress has been made in terms of boosting the e#ectiveness of backtrack style search methods....
International audienceMuch progress has been made in terms of boosting the effectiveness of backtrac...
We show that a rescaled constrainedness parameter provides the basis for accurate numerical models o...
Much progress has been made in terms of boosting the effectiveness of backtrack style search method...
We introduce our work on the backdoor key, a concept that shows promise for characterizing problem ...
We introduce our work on the backdoor key, a concept that shows promise for characterizing problem h...
We introduce a parameter that measures the 'constrainedness' of an ensemble of combinatorial problem...
AbstractMany recent studies have identified phase transitions from under- to overconstrained instanc...
This paper addresses the following question: what is the essential difference between stochastic loc...
: We analyze two algorithms for solving constraint satisfaction problems. One of these algorithms, P...
International audienceBacktracking search is a complete approach that is traditionally used to solve...
A general rule of thumb is to tackle the hardest part of a search problem first. Many heuristics the...
Although dynamic backtracking usually outperforms depth first search, its performance can be degrade...
The most advanced implementation of adaptive constraint processing with Constraint Handling Rules (C...
In contrast to the classical theoretical computational complexity point of view summarized in Chapte...