Exact optimization algorithms are not able to provide an appropriate solution in solving
optimization problems with a high-dimensional search space. In these problems, the search …

Optimization and its related solving methods are becoming increasingly important in most
academic and industrial fields. The goal of the optimization process is to make a system or a …

Clustering techniques have received attention in many fields of study such as engineering,
medicine, biology and data mining. The aim of clustering is to collect data points. The K …

The integrated product mix-outsourcing optimization is a major problem in manufacturing
enterprise. Generally, heuristic or meta-heuristic solution approaches are used to optimize …

In this paper, we develop a novel stochastic multi-objective multi-mode transportation model
for hub covering location problem under uncertainty. The transportation time between each …

Recently introduced colonial competitive algorithm (CCA) has shown its excellent capability
on different optimization problems. The aim of this paper is to propose a discrete version of …

In this paper, the recently introduced optimisation strategy, imperialist competitive algorithm
(ICA) is used to design an optimal antenna array which minimises the error probability for …

Skin color detection is a popular and useful technique because of its wide range of
utilizations both in human computer interaction and content based analysis. Applications …

Flow rates of oil, gas and water are most important parameters of oil production that is
detected by Multiphase Flow Meters (MFM). Conventional MFM collects data on long-term …

In this study, a support vector regression (SVR) model is developed for reliability estimation.
An imperialist competitive algorithm is applied for selecting the SVR parameters such as∁ …