In the real world, there are a number of optimization problems whose search space is
restricted to take binary values; however, there are many continuous metaheuristics with …

In recent years, social networks have become an important part of daily life and are
becoming increasingly important. In this study, sentiment analysis or opinion mining, which …

Tools available in graph theory have been recently applied to signals recorded from the
human brain, where its cognitive functions are linked to topological properties of connectivity …

The traditional corporate financial diagnosis method is susceptible to the choice of
accounting policies, and there are serious lags, one-sidedness and limitations. A financial …

Online shopping has become increasingly popular due to its availability and ease. As a
result, it is important for companies that sell high-end products to maintain the same …

The main purpose of this paper was to present the Forestry Routing Optimization Model
(FRoM) as a version of the classical Vehicle Routing Problem (VRP). This work approaches …

This study aims to use the computable general equilibrium (CGE) model to evaluate the
economic consequences of foreign direct online purchases on the chain economy and to …

This paper proposed a novel optimization method based on opinion formation in complex
network systems. The proposed optimization technique mimics human–human interaction …

Population-based metaheuristic optimization techniques have numerous applications in
science and engineering. In this paper, we introduce a novel population-based binary …

Intelligent optimization methods effectively explore and review the response space using
past experiences a population of search agents. These population-based techniques can …