SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
SIAM Journal on Optimization
An effective hybrid algorithm for the problem of packing circles into a larger containing circle
Computers and Operations Research
Reformulation descent applied to circle packing problems
Computers and Operations Research
New heuristics for packing unequal circles into a circular container
Computers and Operations Research
PERM for solving circle packing problem
Computers and Operations Research
Adaptive and restarting techniques-based algorithms for circular packing problems
Computational Optimization and Applications
A beam search algorithm for the circular packing problem
Computers and Operations Research
Orthogonal packing of identical rectangles within isotropic convex regions
Computers and Industrial Engineering
Two-dimensional equilibrium constraint layout using simulated annealing
Computers and Industrial Engineering
An augmented beam search-based algorithm for the circular open dimension problem
Computers and Industrial Engineering
A probability collectives approach with a feasibility-based rule for constrained optimization
Applied Computational Intelligence and Soft Computing
Computational Biology and Chemistry
Packing unequal circles using formulation space search
Computers and Operations Research
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The problem of packing circles into a larger containing circle is a kind of NP-hard problem. It is of high theoretical and practical value. Lacking powerful optimization method is the key obstacle to solving this problem. The energy landscape paving (ELP) method is a class of heuristic global optimization algorithm and a generation of Monte Carlo method. By incorporating new configuration update mechanism into ELP method, an improved energy landscape paving (ELP+) algorithm is put forward. The computational results, on two sets of instances taken from the literature, show the effectiveness of the proposed algorithm.