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- ArticleDecember 2006
Pareto control in multi-objective dynamic scheduling of a stepper machine in semiconductor wafer fabrication
This paper focuses on Pareto control in multi-objective dynamic scheduling of a stepper machine that is considered as a bottleneck machine in the semiconductor wafer fabrication process. We propose the use of compromise programming method for achieving ...
- ArticleDecember 2006
Nonuniform sampling for global optimization of kinetic rate constants in biological pathways
Global optimization has proven to be a powerful tool for solving parameter estimation problems in biological applications, such as the estimation of kinetic rate constants in pathway models. These optimization algorithms sometimes suffer from slow ...
- ArticleDecember 2006
Assignment scheduling capability for unmanned aerial vehicles: a discrete event simulation with optimization in the loop approach to solving a scheduling problem
Many military planning problems are difficult to solve using pure mathematical programming techniques. One such problem is scheduling unmanned aerial vehicles (UAVs) in military operations subject to dynamic movement and control constraints. This ...
- ArticleDecember 2006
Adaptation of the UOBYQA algorithm for noisy functions
In many real-world optimization problems, the objective function may come from a simulation evaluation so that it is (a) subject to various levels of noise, (b) not differentiable, and (c) computationally hard to evaluate. In this paper, we modify ...
- ArticleDecember 2006
Integration of statistical selection with search mechanism for solving multi-objective simulation-optimization problems
In this paper, we consider a multi-objective simulation optimization problem with three features: huge solution space, high uncertainty in performance measures, and multi-objective problem which requires a set of nondominated solutions. Our main purpose ...
- ArticleDecember 2006
A testbed of simulation-optimization problems
We propose a testbed of simulation-optimization problems. The purpose of the testbed is to encourage development and constructive comparison of simulation-optimization techniques and algorithms. We are particularly interested in increasing attention to ...
- ArticleDecember 2006
Gradient-based simulation optimization
We present a review of methods for simulation optimization. In particular, we focus on gradient-based techniques for continuous optimization. We demonstrate the main concepts using as an example the multidimensional newsvendor problem. We also discuss ...