This paper introduces in details a genetic algorithm-called BASIC, which is designed to take
advantage of well known genetic schemes so as to be able to deal with numerous …

The berth allocation and quay crane assignment problem (BACAP) is an important port
operation planning problem. To obtain an effective and reliable schedule of berth and quay …

In this paper, we present experimental results from the application of model predictive
control (MPC) to inventory management in a real hospital. In particular, the stock levels of …

One of the most important problems in the pharmacy department of a hospital is stock
management. The clinical need for drugs must be satisfied with limited work labor while …

This study explores the use of a proposed variant of harmony search algorithm for design
optimization of plate-fin heat exchangers. The algorithm deals with a large number of …

Solving multi-objective problems requires the evaluation of two or more conflicting objective
functions, which often demands a high amount of computational power. This demand …

Constrained nonlinear programming problems often arise in many engineering applications.
The most well‐known optimization methods for solving these problems are sequential …

Meta-heuristicalgorithms are widely used in various areas such as engineering, statistics,
industrial, image processing, artificial intelligence etc. In this study, the Cricket algorithm …

Metaheuristic approaches with extremely important improvements are very promising in the
solution of intractable optimization problems. The objective of the present study is to test the …

Short-term prediction of tanker freight rates (TFRs) is strategically important to stakeholders
in the oil shipping industry. This study develops a hybrid TFR prediction model based on an …