Several problems have been solved by nonlinear equation systems (NESs), including real-life issues in chemistry and neurophysiology. However, the accuracy of solutions is highly dependent on efficiency algorithm used. In this paper, a Modified Sperm Swarm Optimization Algorithm called MSSO introduced to solve NESs. combines Newton’s second-order iterative method with (SSO). Through combination,...

Travelling Salesman Problem (TSP) is a classical combinatorial optimization problem. This problem is NP-hard in nature. Meta-heuristic approaches have proved to be quite useful for approximate solution of difficult combinatorial optimization problems. Ant colony optimization is one of the popular Meta-heuristics and is unique on the basis of its distributed computation and indirect communicatio...

We introduce an approach which combines ACO (Ant Colony Optimization) and IBM ILOG CP Optimizer for solving COPs (Combinatorial Optimization Problems). The problem is modeled using the CP Optimizer modeling API. Then, it is solved in a generic way by a two-phase algorithm. The first phase aims at creating a hot start for the second: it samples the solution space and applies reinforcement learni...

The design of AC filters must meet the criteria harmonic distortion mitigation and reactive power support in various operating modes. stringent power-sharing requirements currently lead to sophisticated filter schemes with high component ratings. In this regard, triple-tuned (TTFs) have good potential a broad range harmonics. literature, TTF has been presented using parametric method, assuming ...

Abstract The Internet of Robotic Things (IoRT) is an integration between autonomous robots and the (IoT) based on smart connectivity. It's critical to have intelligent connectivity excellent communication for IoRT with digital platforms in order maintain real-time engagement efficient consumer power new-generation apps. proposed model will be utilized determine optimal way task offloading devic...

Construction-induced ground settlement is a serious hazard in underground tunnel construction. Accurate prediction has great significance ensuring the surface building’s stability and human safety. To that end, 148 sets of data were collected from Singapore Circle Line rail traffic project containing seven defining parameters to create database for predicting settlement. These are depth (H), ad...

Remote Healthcare Monitoring Systems (RHMs) that use ECG signals are very effective tools for the early diagnosis of various heart conditions. However, these systems still confronted with a problem reduces their efficiency, such as energy consumption in wearable devices because they battery-powered and have limited storage. This paper presents novel algorithm compression to reduce RHMs. The pro...

In order to examine the influence exerted by an irrelevant semantic variable in a comparative judgment task, we employed a Stroop-like paradigm. The stimuli were pairs of animal names that were different in their physical and semantic sizes (e.g., ant lion). Participants were asked to judge which of the two words was larger either in physical or in semantic size. Size congruity effect (i.e., fa...