Numerous problems encountered in real life cannot be actually formulated as a single objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen several years ago. Due to the complexities in such type of problems powerful heuristic techniques were needed, which has been strongly satisfied by Swarm Intelligence (SI) techniques. Particle Swarm Optimization (PSO) has ...

A new mathematical model for the capacitated multi-facility location-allocation problem with probabilistic customers' locations and demands is developed in this paper. The model is formulated into the frameworks of the expected value model (EVM) and the chance-constrained programming (CCP) based on two different distance measures. In order to solve the model, two hybrid intelligent algorithms a...

Abstract A process for evaluating the degree to which an architecture embraces Modular Open Systems Approaches (MOSA) is germane ensuring that MOSA principles are actually used in development of defense systems architectures. Furthermore, such a provides artifacts can be by program offices justify their key architectural decisions and prove they embrace as required. Therefore, approach facilita...

In the hot compression test friction has a detrimental influence on the flow stress through the process and therefore, correcting the deformation curve for real behavior is very important for both researchers and engineers. In this study, a series of compression tests were simulated using Abaqus software. In this study, it has been employed the Taguchi method to design experiments by the factor...

This paper extended a mathematical technique to model the behaviour of token-passing protocol in a star-coupled wavelength-division multiplexing (WDM) optical network for traffic multiplicity, based on a semi-Markov process. This analytical model is able to predict the results accurately. It is found that the proposed static priority scheme performs reasonably well in relatively stable and pred...

Due to the increased levels of uncertainty in world today and expansion supply chain boundaries, companies have been observed trying enhance resilience deal with disruptions caused by severe disasters. There is, however, a new stimulus for disorder, something quite similar what has witnessed recently. It is phenomenon called pandemics such as SARS, Ebola, Coronaviruses. On other hand, result im...

The Mahalanobis Taguchi System (MTS) is considered one of the most promising binary classification algorithms to handle imbalance data. Unfortunately, MTS lacks a method for determining an efficient threshold for the binary classification. In this paper, a nonlinear optimization model is formulated based on minimizing the distance between MTS Receiver Operating Characteristics (ROC) curve and t...

In this study, the problem of giving priority to two or more quality chracteristics faced while applying Taguchi Method on multiresponse problems is studied. It was based upon Tong et al.(1997)’s approach on assignment of weights derived from individual experiences. Instead of prioritizing by personal judgments, Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) methods were us...