Simulated annealing and joint manufacturing batch-sizing

Batch Sizing Models for Flexible Manufacturing Cells

In this paper, we study the effect of batch sizes on performance of flexible manufacturing cells, where performance is evaluated in terms of flow-related measures such as part flow times, work-in-process levels, machine utilizations, and production rates. We introduce new analytical models that account for material handling, both discrete and continuous, and differentiate between process and tr...

Constraint Analysis and Inital Sizing of a Transport Aircraft by Simulated Annealing

Simulated Annealing for Sizing of Integrated Circuits in Spice

This paper presents a new optimization algorithm for automatic sizing of integrated circuits (IC) in SPICE. We refer to the new method as DESA. It is a hybrid between two very popular oprimization methods. The first one is differential evolution (DE) which is a robust population based optimization method and has received a lot of attention in the recent years. It was also sucessfully applied to...

Iir Model Identification Using Batch-recursive Adaptive Simulated Annealing Algorithm

System identification using infinite-impulse-response (IIR) model is considered. Because the error surface of IIR filters is generally multi-modal, global optimisation techniques are preferred in order to avoid local minima. An efficient global optimisation method, called the adaptive simulated annealing (ASA), is adopted, and a new batch-recursive ASA algorithm is developed for on-line identif...

Simulated Annealing For The Optimization Of Chemical Batch Production Processes1

Batch distillation processes are widely used in chemical industry. In this work, we consider the optimization of such processes by simulated annealing. Although this method is stochastically in nature, it has two evitable advantages: it can be readily connected to highly sophisticated simulation codes and it converges towards a global optimum. According to the characteristics of batch distillat...