… in the area of constraint programming will be very active for quite … I consider this handbook
not only a very nice piece of … about constraint programming both within the inner constraint …

… of this handbook is to capture the full breadth and depth of the constraint programming field
… While there are several excellent books on constraint programming, such books necessarily …

Goal Programming (GP) is perhaps the oldest and most widely used approach within the
Multiple Criteria Decision Making (MCDM) paradigm. GP combines the logic of optimisation in …

… The third sub-part describes mathematical-optimization, and artificial-intelligence-based
formalisms, with chapters on parallel mixed-integer linear programming, constraint programming…

… of ILOG's constraint programming systems. Their excellent articles on constraint-based
scheduling which resulted from this work are well known. The book covers the most widely used …

… Fortunately for most constraint programmers, a little knowledge of group theory is in fact
enough to understand most of the work done to date. Sadly, introductions to group theory for …

… Using global constraints such as schedule, constraint programming solves benchmark …
There are two main advantages of global constraints in constraint programming, in addition …

… Extensions of logic programming, in particular constraint programming and objectoriented
programming; rapid prototyping and e cient implementation of such extensions; both …

Constraint programming (CP) is a methodology for modeling and solving (combinatorial)
optimization and satisfaction problems [37]. Its origins are in artificial intelligence, computer …

… As in linear programming, we can also consider SDPs with inequality and equality constraints
and mixtures of restricted and free variables. It is also common to have more than one …