New results in the packing of equal circles in a square
Discrete Mathematics
Algorithm 813: SPG—Software for Convex-Constrained Optimization
ACM Transactions on Mathematical Software (TOMS)
Nonmonotone Spectral Projected Gradient Methods on Convex Sets
SIAM Journal on Optimization
Large-Scale Active-Set Box-Constrained Optimization Method with Spectral Projected Gradients
Computational Optimization and Applications
Packing equal circles in a square: a deterministic global optimization approach
Discrete Applied Mathematics
Reformulation descent applied to circle packing problems
Computers and Operations Research
Orthogonal packing of rectangular items within arbitrary convex regions by nonlinear optimization
Computers and Operations Research
Augmented Lagrangian methods under the constant positive linear dependence constraint qualification
Mathematical Programming: Series A and B
Minimizing the object dimensions in circle and sphere packing problems
Computers and Operations Research
On Augmented Lagrangian Methods with General Lower-Level Constraints
SIAM Journal on Optimization
Computers and Industrial Engineering
Computers and Operations Research
Global minimization using an Augmented Lagrangian method with variable lower-level constraints
Mathematical Programming: Series A and B
A heuristic approach for packing identical rectangles in convex regions
Computers and Operations Research
Multiobjective layout optimization of robotic cellular manufacturing systems
Computers and Industrial Engineering
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A mixed integer continuous nonlinear model and a solution method for the problem of orthogonally packing identical rectangles within an arbitrary convex region are introduced in the present work. The convex region is assumed to be made of an isotropic material in such a way that arbitrary rotations of the items, preserving the orthogonality constraint, are allowed. The solution method is based on a combination of branch and bound and active-set strategies for bound-constrained minimization of smooth functions. Numerical results show the reliability of the presented approach.