For effective monitoring and control of the fermentation process, an accurate real-time
measurement of important variables is necessary. These variables are very hard to measure …

Pipelines have traditionally been recognized as the most cost-effective and safe mode for
transporting natural gas. However, since a tremendous amount of gas is transported through …

Nowadays the effective and fast detection of fruit defects is one of the main concerns for fruit
selling companies. This paper presents a new approach that classifies fruit surface defects …

Both the radio resources in wireless networks and the computational resources in cloud
have big impact on the performance of the mobile cloud computing system. In this paper, we …

This comprehensive reference text discusses evolutionary optimization techniques, to find
optimal solutions for single and multi-objective problems. The text presents each …

Ants are found on all continents except Antarctica. Ant families are a perennial, highly
organized community. Ants live in organized groups called colonies and have complex …

In this paper a new meta-heuristic algorithm is introduced. This optimization algorithm is
inspired by the very popular tool among the technical traders in the stock market called the …

This research analyzes the metaheuristic methods, that is, ant colony optimization (ACO),
genetic algorithm (GA), and particle swarm optimization (PSO), in the selection of path pairs …

The artificial bee colony (ABC) is a metaheuristic optimization algorithm known for its
simplicity, flexibility, and efficiency. The algorithm, however, suffers from slow convergence …

The main emphasis of this paper is placed on the effectiveness of the proposed optimization
method in material identification. The primary motivation of integrating GA, ACO and PSO is …