This paper presents the application of three optimization algorithms to increase chaotic behavior fractional order Chen system. is achieved by optimizing maximum Lyapunov exponent (MLE). The applied techniques are evolutionary (EAs), namely: differential evolution (DE), particle swarm (PSO), and invasive weed (IWO). In each algorithm, process performed using 100 individuals generations from 50 ...

<span lang="EN-US">Due to the growing number of cardiac patients, an automatic detection that detects various heart abnormalities has been developed relieve and share physicians’ workload. Many depolarization ventricles complex waves (QRS) algorithms with multiple properties have recently presented; nevertheless, real-time implementations in low-cost systems remain a challenge due limited...

This paper introduces an expanded version of the Invasive Weed Optimization algorithm (exIWO) distinguished by the hybrid strategy of the search space exploration proposed by the authors. The algorithm is evaluated by solving three well-known optimization problems: minimization of numerical functions, feature selection, and the Mona Lisa TSP Challenge as one of the instances of the traveling sa...

Flood has long been known as one of the most catastrophic natural hazards worldwide. Mapping flood-prone areas is an important part flood disaster management. In this study, a susceptibility mapping framework was developed based on novel integration nature-inspired algorithms into support vector regression (SVR). To end, various remote sensing (RS) and geographic information system (GIS) datase...

The activated sludge process (ASP) is the most widely used biological wastewater treatment system. Advances in research have led to adoption of Artificial Intelligence (AI), particular, Nature-Inspired Algorithm (NIA) techniques such as Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) optimize systems. This has aided reducing complexity computational time ASP modelling. paper cove...

Nowadays, effort estimation in software projects is turned to one of the key concerns for project managers. In fact, accurately estimating of essential effort to produce and improve a software product is effective in software projects success or fail, which is considered as a vital factor. Lack of access to satisfying accuracy and little flexibility in existing estimation models have attracted ...