On the limited memory BFGS method for large scale optimization
Mathematical Programming: Series A and B
Polynomial arithmetic analogue of Halton sequences
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Penetration depth of two convex polytopes in 3D
Nordic Journal of Computing
Manufacturing 3: a simulation study of an automotive foundry plant manufacturing engine blocks
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Discrete event simulation for batch processing
Proceedings of the 38th conference on Winter simulation
Proceedings of the 40th Conference on Winter Simulation
Simulation optimization applied to injection molding
Proceedings of the 40th Conference on Winter Simulation
Performance Analysis of a Collision Detection Algorithm of Spheres Based on Slab Partitioning
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A multi-sphere scheme for 2D and 3D packing problems
SLS'07 Proceedings of the 2007 international conference on Engineering stochastic local search algorithms: designing, implementing and analyzing effective heuristics
Coupling simulation with heuristiclab to solve facility layout problems
Winter Simulation Conference
Bottleneck analysis of a chemical plant using discrete event simulation
Proceedings of the Winter Simulation Conference
Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness
Proceedings of the Winter Simulation Conference
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We have devised a method to generate non-overlapping random dot patterns for light guides and diffuser films in liquid crystal displays (LCDs). Molecular-dynamics-based algorithms are being for this purpose and have been proven to generate high quality dot patterns. The key technical challenge is how to remove inter-dot overlap that leads to visible roughness in the luminance distribution. In this paper, we describe a new overlap removal method that penalizes the overlap of dots and minimizes the sum of the penalties by using a nonlinear optimization technique. Through computational experiments with real world data, we show that our optimization-based method runs faster than an existing simulation-based method and generates dot patterns with comparable quality.