Multi-objective optimization techniques have made inroad into various aspects of managerial decision making process such as investment, environmental analysis of major projects, etc. The field of operations management, in particular production management, has been somewhat behind in utilizing such techniques. In this paper, we consider a production line that produces several predetermined batc...

The operation of dynamic processes can be optimized using models that predict the system behavior well, in particular its optimality features. In practice, however, process models are often structurally inaccurate, and on-line adaptation is typically required for appropriate prediction and optimization. Furthermore, it is difficult to identify process model parameters on-line during optimizatio...

A hybrid neural network model based on-line re-optimization control strategy is developed for a batch polymerization reactor. To address the difficulties in batch polymerization reactor modeling, the hybrid neural network model contains a simplified mechanistic model covering material balance assuming perfect temperature control, and recurrent neural networks modeling the residuals of the simpl...

Sufficient conditions for robust closed-loop stability of a class of dynamic matrix control (DMC) systems arepresented. The I,-norm is used in the objective function of the on-line optimization, thus resulting in a linear programming problem. The ideas of this work, however, are expandable to other DMC-type controllers. The keys to the stability conditions are: to use an end-condition in the mo...

Application of metaheuristic algorithms has been of continued interest in the field of electrical engineering because of their powerful features. In this work special design is done for a tapered transmission line used for matching an arbitrary real load to a 50Ω line. The problem at hand is to match this arbitray load to 50 Ω line using three section tapered transmission line with impedances i...

The paper discusses the basic aspects of modeling, simulation and optimization o f transmission lines, with emphasis in validity, applicability and limitations of some used procedures, and some guidelines for development of new procedures.

Finding appropriate parameter settings of parameterized algorithms or AI systems is an ubiquitous task in many practical applications. This task is usually tedious and time-consuming. To reduce human intervention, the study of methods for automated algorithm configuration has received increasing attention in recent years. In this article, we study the mesh adaptive direct search (MADS) method f...

Nowadays, due to inherent complexity of real optimization problems, it has always been a challenging issue to develop a solution algorithm to these problems. Single row facility layout problem (SRFLP) is a NP-hard problem of arranging a number of rectangular facilities with varying length on one side of a straight line with aim of minimizing the weighted sum of the distance between all facility...

With Cantonese as the target language, this study investigates the phonetic details of contextual tonal variations in disyllabic tonal sequences. It is found that the main source of F0 (fundamental frequency) contour deviation from the canonical form comes from carryover effect, which is assimilatory in nature. Furthermore, based on the Target Approximation (TA) model, an optimization problem i...