Add to ORKGis work introduces search combinators, an approach to modeling search in constraint solvers that enables users and system developers to quickly design complex efficient search heuristics. Search heuristics often make all the difference between effectively solving a combinatorial problem and utter failure. Heuristics enable a search algorithm to become efficient for a variety of reasons, e.g., incorporation of domain knowledge, or randomization to avoid heavy tailed runtimes. Hence, the ability to swiftly design search strategies that are tailored towards a problem domain is essential to performance improvement.status: publishe
The search for acceptable solutions in a combinatorially large problem space is an important problem...
Search has been vital to artificial intelligence from the very beginning as a core technique in prob...
A constraint programming system combines two essential components: a constraint solver and a search ...
The ability to model search in a constraint solver can be an essential asset for solving combinatori...
The ability to model search in a constraint solver can be an essential asset for solving combinatori...
the date of receipt and acceptance should be inserted later Abstract The ability to model search in ...
This book details key techniques in constraint networks, dealing in particular with constraint satis...
AbstractMany recent studies have identified phase transitions from under- to overconstrained instanc...
Discrete combinatorial optimization problems are ubiquitous in modern civilization. Unfortunately th...
: This paper describes a framework for expressing and solving combinatorial problems. The framework ...
... techniques for designing better search algorithms. Knowledge captured in designing one search al...
International audienceIdentifying structures in a given combinatorial problem is often a key step fo...
Many practical problems have the goal of identifying, with limited resources, a small number of obje...
The easy-hard-easy pattern in the difficulty of combinatorial search problems as constraints are add...
The goal of this research is to develop a systematic, integrated method of designing efficient searc...
The search for acceptable solutions in a combinatorially large problem space is an important problem...
Search has been vital to artificial intelligence from the very beginning as a core technique in prob...
A constraint programming system combines two essential components: a constraint solver and a search ...
The ability to model search in a constraint solver can be an essential asset for solving combinatori...
The ability to model search in a constraint solver can be an essential asset for solving combinatori...
the date of receipt and acceptance should be inserted later Abstract The ability to model search in ...
This book details key techniques in constraint networks, dealing in particular with constraint satis...
AbstractMany recent studies have identified phase transitions from under- to overconstrained instanc...
Discrete combinatorial optimization problems are ubiquitous in modern civilization. Unfortunately th...
: This paper describes a framework for expressing and solving combinatorial problems. The framework ...
... techniques for designing better search algorithms. Knowledge captured in designing one search al...
International audienceIdentifying structures in a given combinatorial problem is often a key step fo...
Many practical problems have the goal of identifying, with limited resources, a small number of obje...
The easy-hard-easy pattern in the difficulty of combinatorial search problems as constraints are add...
The goal of this research is to develop a systematic, integrated method of designing efficient searc...
The search for acceptable solutions in a combinatorially large problem space is an important problem...
Search has been vital to artificial intelligence from the very beginning as a core technique in prob...
A constraint programming system combines two essential components: a constraint solver and a search ...