Mathematical modeling plays an important role in biology for describing the dynamics of
infectious diseases. A useful strategy for controlling infections and disorder conditions is to …

In this paper, we introduced a practical version of golden section search algorithm to
optimize multi/uni-modal objective functions. Accordingly, this study presented a novel …

The identification of a module's fault-proneness is very important for minimizing cost and
improving the effectiveness of the software development process. How to obtain the …

This paper studies the parameter estimation problem of Hammerstein output error
autoregressive (OEAR) systems. According to the maximum likelihood principle and the …

Nowadays, offering fast and reliable delivery service has become a vital issue associated
with all shipment delivery systems. Due to unpredictable variability in travel times …

Given the complexity and uncertainty of the influencing factors of slope stability, its accurate
evaluation is difficult to accomplish using conventional approaches. This paper presents the …

This paper presents a comprehensive study of the Particle Swarm Optimization (PSO)
algorithm, called complex-order PSO (CPSO). In the core of new set of algorithms, we …

An enhanced scatter search (eSS) with combined opposition-based learning algorithm is
proposed to solve large-scale parameter estimation in kinetic models of biochemical …

According to modern grid codes (GCs), high penetration of photovoltaic power plants
(PVPPs) to the utility grid requires a reliable PV generation system by achieving fault ride …

Experimentally evaluating gas turbine cooling schemes is generally prohibitive at engine
conditions. Thus, researchers conduct film cooling experiments near room temperature and …