Since the last decade, hard combinatorial problems such as scheduling have been the target of many approaches combining Operations Research and Artificial Intelligence techniques, focussed on constraint satisfaction as a general paradigm for representing and solving efficiently such problems (Van Hentenryck 89). Amongst these approaches, the so-called Constraint-Base
Constraint satisfaction is a very well studied and fundamental artificial intelligence technique. Va...
There has been a lot of interest lately from people solving constrained optimization problems for co...
Abstract: Constraint programming (CP) offers flexible and effective tools for modeling combinatorial...
pp.155-158Since the last decade, hard combinatorial problems such as scheduling have been the target...
AbstractConstraint propagation is an elementary method for reducing the search space of combinatoria...
Constraint Programming is a problem-solving paradigm that establishes a clear distinction between tw...
Constraint Programming is a problem-solving paradigm that establishes a clear distinction between tw...
A constraint satisfaction problem requires a value, selected from a given finite domain, to be assig...
This chapter describes constraint-based scheduling as the discipline that studies how to solve sched...
A constraint satisfaction problem (CSP) requires a value, selected from a given finite domain, to be...
© 2011 Dr. Andreas SchuttScheduling problems appear in many industrial problems with different facet...
Generalised Assignment Problems (GAP), traditionally solved by Integer Programming techniques, are a...
This thesis deals with scheduling problems and algorithms usable to solve them. Scheduling algorithm...
Effective reuse of KBs often entails the expensive task of identifying plausible KB-combinations. Th...
Time-related optimization problems are very hard to solve. Scheduling covers a subcategory of such p...
Constraint satisfaction is a very well studied and fundamental artificial intelligence technique. Va...
There has been a lot of interest lately from people solving constrained optimization problems for co...
Abstract: Constraint programming (CP) offers flexible and effective tools for modeling combinatorial...
pp.155-158Since the last decade, hard combinatorial problems such as scheduling have been the target...
AbstractConstraint propagation is an elementary method for reducing the search space of combinatoria...
Constraint Programming is a problem-solving paradigm that establishes a clear distinction between tw...
Constraint Programming is a problem-solving paradigm that establishes a clear distinction between tw...
A constraint satisfaction problem requires a value, selected from a given finite domain, to be assig...
This chapter describes constraint-based scheduling as the discipline that studies how to solve sched...
A constraint satisfaction problem (CSP) requires a value, selected from a given finite domain, to be...
© 2011 Dr. Andreas SchuttScheduling problems appear in many industrial problems with different facet...
Generalised Assignment Problems (GAP), traditionally solved by Integer Programming techniques, are a...
This thesis deals with scheduling problems and algorithms usable to solve them. Scheduling algorithm...
Effective reuse of KBs often entails the expensive task of identifying plausible KB-combinations. Th...
Time-related optimization problems are very hard to solve. Scheduling covers a subcategory of such p...
Constraint satisfaction is a very well studied and fundamental artificial intelligence technique. Va...
There has been a lot of interest lately from people solving constrained optimization problems for co...
Abstract: Constraint programming (CP) offers flexible and effective tools for modeling combinatorial...