3siIn many problems that require extensive searching, the solution can be described as satisfying two competing constraints, where satisfying each independently does not pose a challenge. As an alternative to tree-based and stochastic searching, for these problems we propose using an iterated map built from the projections to the two constraint sets. Algorithms of this kind have been the method of choice in a large variety of signal-processing applications; we show here that the scope of these algorithms is surprisingly broad, with applications as diverse as protein folding and Sudoku. © 2007 by The National Academy of Sciences of the USA.noneopenV. Elser, I. Rankenburg, P. ThibaultElser, V.; Rankenburg, I.; Thibault, P
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Heuristic search is a key component of automated planning and pathfinding. It is guided by a heurist...
Solving constrained combinatorial optimization problems via MAP inference is often achieved by intro...
Abstract. Sudoku is a popular puzzle. In this paper we detail constraint satisfaction search algorit...
In many problems that require extensive searching, the solution can be described as satisfying two c...
The maximum a posteriori (MAP) assignment for general structure Markov random fields (MRFs) is compu...
The map-seeking circuit algorithm (MSC) was developed by Arathorn to efficiently solve the combinato...
A fundamental difficulty when using neural net-works applied to problems of pattern recognition is t...
Abstract. This article presents a new search algorithm for the NP-hard problem of optimizing functio...
Iterated greedy is a search method that iterates through applications of construction heuristics usi...
In "Handbook of Metaheuristics", Ed. F. Glover and G. Kochenberger, ISORMSThis is a survey of "Itera...
Abstract. Sudoku is a notorious logic-based puzzle that is popular with puzzle enthusiasts the world...
AbstractWe investigate the use of machine learning to create effective heuristics for search algorit...
An iterated local search algorithm based on nonlinear programming for the irregular strip packing pr...
Abstract. Iterated local search (ILS) is a powerful meta-heuristic algo-rithm applied to a large var...
Informed search algorithms such as A* use heuristics to focus exploration on states with low total p...
Heuristic search is a key component of automated planning and pathfinding. It is guided by a heurist...
Solving constrained combinatorial optimization problems via MAP inference is often achieved by intro...
Abstract. Sudoku is a popular puzzle. In this paper we detail constraint satisfaction search algorit...