Increased level of volatility in today's manufacturing world demanded new approaches for
modelling and solving many of its well-known problems like the facility layout problem. Over a …

There is a trend in the scientific community to model and solve complex optimization
problems by employing natural metaphors. This is mainly due to inefficiency of classical …

This paper mainly evaluates the previously published fleet planning researches which
primarily utilize operations research and computational intelligence based techniques. An …

Bees algorithm (BA) is a new member of meta-heuristics. BA tries to model natural behavior
of honey bees in food foraging. Honey bees use several mechanisms like waggle dance to …

Accurate determination of compressive and tensile strength of limestone is an important
subject for the design of geotechnical structures. Although there are several classical …

In the present paper, a novel fuzzy Multiple Attribute Decision Making (MADM) model is
proposed for modeling and solving truck selection problem of a land transportation company. As …

Data, as being the vital input of system modelling, contain dissimilar level of imprecision that
necessitates different modelling approaches for proper analysis of the systems. Numbers, …

Thin-walled tubes have been mostly used in passive vehicle safety systems as crash energy
absorber. With the use of additive manufacturing technology, it is possible to produce novel …

Teaching–learning based optimization (TLBO) algorithm has been recently proposed in the
literature as a novel population oriented meta-heuristic algorithm. It has been tested on …

In this paper, a new fuzzy Multiple-Attribute Decision Making (MADM) model is developed by
integrating the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and …