National audienceThe efficiency of sBB depends on many parameters, among which the width of the variable ranges at each node. The fastest range reduction algorithm is called Feasibility-Based Bounds Tightening (FBBT) : it is an iterative procedure that propagates bounds up and down the expression trees [1] representing the constraints in (1), tightening them by using the constraint bounds (-?, 0]. Depending on the instance, and even limited to linear constraints only, FBBT may not converge finitely to its limit point. Tolerance-based termination criteria yield finite termination but, in general, in unbounded time (for every time bound, there is an instance exceeding it). So, although the FBBT is practically fast, its theoretical worst-case ...
International audienceInterval narrowing techniques are a key issue for handling constraints over re...
We address the problem of determining convergent upper bounds in continuous non-convex global minimi...
International audienceInterval narrowing techniques are a key issue for handling constraints over re...
National audienceThe efficiency of sBB depends on many parameters, among which the width of the vari...
http://www.optimization-online.org/DB_HTML/2012/01/3325.htmlMathematical programming problems involv...
http://www.optimization-online.org/DB_HTML/2012/01/3325.htmlMathematical programming problems involv...
Global Optimization and Mixed-Integer Nonlinear Programming problems such as min{f(x) | gL ≤ g(x) ≤ ...
International audienceThe search tree size of the spatial Branch-and-Bound algorithm for Mixed-Integ...
International audienceThe search tree size of the spatial Branch-and-Bound algorithm for Mixed-Integ...
AbstractIn this paper, we study the problem of solving integer range constraints that arise in many ...
Optimization, continuous domains, nonlinear constraint problems, safe constraint based approachesInt...
International audienceInterval narrowing techniques are a key issue for handling constraints over re...
Branch and bound algorithms are methods for global optimization in nonconvex prob-lems [LW66, Moo91]...
Range reduction techniques often considerably enhance the performance of algorithmic approaches for ...
Optimization, continuous domains, nonlinear constraint problems, safe constraint based approachesInt...
International audienceInterval narrowing techniques are a key issue for handling constraints over re...
We address the problem of determining convergent upper bounds in continuous non-convex global minimi...
International audienceInterval narrowing techniques are a key issue for handling constraints over re...
National audienceThe efficiency of sBB depends on many parameters, among which the width of the vari...
http://www.optimization-online.org/DB_HTML/2012/01/3325.htmlMathematical programming problems involv...
http://www.optimization-online.org/DB_HTML/2012/01/3325.htmlMathematical programming problems involv...
Global Optimization and Mixed-Integer Nonlinear Programming problems such as min{f(x) | gL ≤ g(x) ≤ ...
International audienceThe search tree size of the spatial Branch-and-Bound algorithm for Mixed-Integ...
International audienceThe search tree size of the spatial Branch-and-Bound algorithm for Mixed-Integ...
AbstractIn this paper, we study the problem of solving integer range constraints that arise in many ...
Optimization, continuous domains, nonlinear constraint problems, safe constraint based approachesInt...
International audienceInterval narrowing techniques are a key issue for handling constraints over re...
Branch and bound algorithms are methods for global optimization in nonconvex prob-lems [LW66, Moo91]...
Range reduction techniques often considerably enhance the performance of algorithmic approaches for ...
Optimization, continuous domains, nonlinear constraint problems, safe constraint based approachesInt...
International audienceInterval narrowing techniques are a key issue for handling constraints over re...
We address the problem of determining convergent upper bounds in continuous non-convex global minimi...
International audienceInterval narrowing techniques are a key issue for handling constraints over re...