Add to ORKGThe authors investigate the issue of improving heuristic searching with supervised learning in large scale optimization.Department of Industrial and Systems Engineerin
Suboptimal search algorithms offer shorter solving times by sacrificing guaranteed solution optimali...
This book aims to provide a general overview of heuristic search, to present the basic steps of the ...
In our participation to the Cross-Domain Heuristic Search Challenge (CHeSC 2011) [1] we developed an...
Search has been vital to artificial intelligence from the very beginning as a core technique in prob...
We provide an overall framework for learning in search based systems that are used to find optimum s...
Abstract. Problem solvers have at their disposal many heuristics that may support effective search. ...
Heuristics are strategies using readily accessible, loosely applicable information to control proble...
Abstract This chapter aims to extend on the overview of heuristic and metaheuristics described in ch...
Heuristic search methods have been applied to a wide variety of optimisation problems. A central ele...
This paper describes algorithms that learn to improve search performance on large-scale optimization...
This book presents, characterizes and analyzes problem solving strategies that are guided by heurist...
Heuristic search is a fundamental technique for solving problems in artificial intelligence. However...
There are numerous optimisation problems for which heuristics are currently the only practical solut...
AbstractThis article surveys three techniques for enhancing heuristic game-tree search pioneered in ...
Heuristic optimization algorithms are artificial intelligence search methods that can be used to fin...
Suboptimal search algorithms offer shorter solving times by sacrificing guaranteed solution optimali...
This book aims to provide a general overview of heuristic search, to present the basic steps of the ...
In our participation to the Cross-Domain Heuristic Search Challenge (CHeSC 2011) [1] we developed an...
Search has been vital to artificial intelligence from the very beginning as a core technique in prob...
We provide an overall framework for learning in search based systems that are used to find optimum s...
Abstract. Problem solvers have at their disposal many heuristics that may support effective search. ...
Heuristics are strategies using readily accessible, loosely applicable information to control proble...
Abstract This chapter aims to extend on the overview of heuristic and metaheuristics described in ch...
Heuristic search methods have been applied to a wide variety of optimisation problems. A central ele...
This paper describes algorithms that learn to improve search performance on large-scale optimization...
This book presents, characterizes and analyzes problem solving strategies that are guided by heurist...
Heuristic search is a fundamental technique for solving problems in artificial intelligence. However...
There are numerous optimisation problems for which heuristics are currently the only practical solut...
AbstractThis article surveys three techniques for enhancing heuristic game-tree search pioneered in ...
Heuristic optimization algorithms are artificial intelligence search methods that can be used to fin...
Suboptimal search algorithms offer shorter solving times by sacrificing guaranteed solution optimali...
This book aims to provide a general overview of heuristic search, to present the basic steps of the ...
In our participation to the Cross-Domain Heuristic Search Challenge (CHeSC 2011) [1] we developed an...