Integration of production planning and scheduling is a class of problems commonly found in manufacturing industry. This class of problems associated with precedence constraint has been previously modeled and optimized by the authors, in which, it requires a multidimensional optimization at the same time: what to make, how many to make, where to make and the order to make. It is a combinatorial,...

We study the use of neural networks (NN) as approximate models for fitness evaluation in evolutionary computation. To improve the quality of the NN models, structure optimization of these NNs is applied with respect to two different criteria: One is the commonly used approximation error, and the other is the ability of the NNs to learn different problems of a common class of problems. Simulatio...