Successful privatization in other sectors leads to a restructuring the power sector. The same practice has been adopted electrical industry with deregulated electricity market (EM). This enables competition among generating companies (Genco’s) for maximizing their profit and it plays central role. With this aim, each Genco gives higher bid that may result risk of losing opportunity get selected...

<p style='text-indent:20px;'>Feature selection is a valuable tool in supervised machine learning research fields, such as pattern recognition or classification problems. Feature used to eliminate irrelevant and noise features that adversely affect results. Swarm algorithms are usually feature problem; these need transfer functions change search space from continuous the discrete. However,...

This paper proposes an Exponentially Varying Whale Optimization Algorithm (EVWOA) to solve the single-objective non-convex Cogeneration Units problem. problem seeks evaluate optimal output of generator unit minimize a CHP system’s fuel costs. The nonlinear and characteristics objective function demands powerful optimization technique. traditional (WOA) is improved by incorporating four differen...

Digital images watermarking is a method for data hiding that ensures the security of multimedia data. In these ways, watermark can be digital image or stored within content. The Shearlet transform, multi-resolution and multi-directional conversion, used in images. Due to its superior features, this conversion increase efficiency applications such as paper, SVD transforms are with Whale optimiza...

Under the “Double Carbon” background, development of green agricultural machinery is very fast. An important factor that determines performance electric farm endurance capacity, which directly related to running path machinery. The optimized driving can reduce operating loss and extend mileage machinery, then multi-node planning helps improve working efficiency tractors. Ant Colony Optimization...

Routing requests in industrial wireless sensor networks (IWSNs) are always restricted by QoS. Therefore, finding a high-quality routing path is key problem. In this paper, clone adaptive whale optimization algorithm (CAWOA) designed for reducing the energy consumption of IWSNs with QoS constraints, and novel operator proposed. More importantly, CAWOA innovatively adopts discrete binary-based co...

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p>In this study, we compare a cluster-based whale optimization algorithm (WOA) with an uncombined method to find more optimized solution for traveling salesman problem (TSP). The main goal is reduce the time of solving TSP. First, solve TSP Whale algorithm, later it combined which uses clusteri...

The insurance industry is based on risk calculations, high profits, and detailed information. predictive models that companies utilize allow to make accurate decisions about the sector. This research focuses improving accuracy of predicting customers Property Casualty (P&C) insurance. In this study, a reliable quantitative analytical big data method has been developed, Hybrid Grey Wolf Whal...

This paper introduced a new swarm based optimization technique for tuning Power System Stabilizer (PSS) that attached to a synchronous generator in a single machine infinite bus (SMIB) system. PSS which is installed with Lead-Lag (LL) controller is introduced to elevate the damping capability of the generator in the low frequency mode. For tuning PSS-LL parameters, a new technique called Whale ...