Field Workforce Scheduling (FWS) is a very important and practical problem in the service industries. It concerns the scheduling of multi-skilled employees to geographically dispersed tasks. In FWS, employee efficiency is highly important, and thus they have to be managed in an effective way. Employee empowerment is a relatively new and flexible management concept. It promises to benefit both o...

in this study, the application of gray relational analysis (gra) and taguchi method in multi-criteria process parameters selection of turning operation has been investigated. the process responses under study are material removal rate (mrr) and surface roughness (sr); in turn, the input parameters include cutting speed, feed rate, depth of cut and nose radius of the cutting tool. the proposed a...

the national bridge stock of iran consists of about 330,000 bridges, of which around 50% are older than 30 years. since 2010, iran road maintenance & transportation organization has started implementing a comprehensive bridge management system in order to manage this aged stock efficiently. to predict future conditions of bridge stock, a heuristic numerical method is presented. this methodology...

abstract. when a production facility is designed, there are various parameters affecting the number machines such as production capacity and reliability. it is often a tedious task to optimize different objectives simultaneously. the other issue is the uncertainty in many design parameters which makes it difficult to reach a desirable solution. in this paper, we present a new mathematical model...

ABSTRACT This paper proposes a new Multi-Objective Equilibrium Optimizer (MOEO) to handle complex optimization problems, including real-world engineering design problems. The (EO) is recently reported physics-based metaheuristic algorithm, and it has been inspired by the models used predict equilibrium state dynamic state. A similar procedure utilized in MOEO combining different target search s...

Abstract Due to the exponential overflow of textual information in various fields knowledge and on internet, it is very challenging extract important or generate a summary from some multi-document collection specific field. With such gigantic amount content, human text summarization becomes impractical since expensive consumes lot time effort. So, developing automatic (ATS) systems becoming inc...

Within a disruptively changing environment, design of power systems becomes complex task. Meeting multi-criteria requirements with increasing degrees freedom in and simultaneously decreasing technical expertise strengthens the need for multi-objective optimization (MOO) making use algorithms virtual prototyping. In this context, we present Gaussian Process Regression based Multi-Objective Bayes...

estimation of parameters of a hydrologic model is undertaken using a procedure called “calibration” in order to obtain predictions as close as possible to observed values. this study aimed to use the particle swarm optimization (pso) algorithm for automatic calibration of the hec-hms hydrologic model, which includes a library of different event-based models for simulating the rainfall-runoff pr...