In this paper, we address the issue of problem formulation. We identify the heuristic nature of generating a good formulation and we propose a context for this ...
This work identifies the heuristic nature of generating a good formulation and proposes a context for this process and provides a significant step towards ...
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A Context for Constraint Satisfaction Problem Formulation Selection
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Our work presents the research community with a focus for the many elements which affect problem formulation and this is illustrated with the example adding.
In "A Context for Constraint Satisfaction Problem Formulation Selection", Borrett [7] proposes a methodology for these transformation heuristics. He shows that ...
To formulate a domain as a discrete constraint satisfaction problem (CSP), it is necessary to specify: a set of constraint variables, a discrete domain of ...
Apr 11, 2014 · In this paper, we consider applying a machine learning approach to improve the performance of these search-based solvers. We apply reinforcement ...
Missing: Selection. | Show results with:Selection.
Mar 23, 2010 · In this case a backtracking/backjumping search is used: we try to select the value of a single variable, propagate the changes, etc. This ...
Missing: Context | Show results with:Context
Chapters 3 and 4 explored the idea that problems can be solved by searching in a space of states. These states can be evaluated by domain-specific ...
A constraint satisfaction problem (CSP) requires a value, selected from a given finite domain, to be assigned to each variable in the problem, ...
Oct 3, 2024 · In Constraint Satisfaction Problems (CSP), the solution process involves the interaction of variables, domains, and constraints. Below is a ...