Update README.md

AliAmini93 · web-flow · commit e9e49bd9e126 · 2024-08-24T13:30:53.000+03:30
diff --git a/README.md b/README.md
@@ -4,12 +4,12 @@ This repository serves as a central hub, integrating three distinct projects, ea
 
 ## 1. [NASA Website Queries Prediction](https://github.com/AliAmini93/NASA-website-queries-prediction)
 
-This project focuses on forecasting the number of queries to the NASA website. Utilizing a Multi-Layer Perceptron (MLP), the neural network weights are further optimized using various metaheuristics optimization algorithms including Grey Wolf Optimization (GWO), Particle Swarm Intelligence (PSO), and Imperialist Competitive Algorithm (ICA). This approach significantly reduces the mean absolute percentage error (MAPE) on the test set, showcasing the efficacy of these optimization techniques​​.
+This project focuses on forecasting the number of queries to the NASA website. Utilizing a Multi-Layer Perceptron (MLP), the neural network weights are further optimized using various metaheuristics optimization algorithms including Grey Wolf Optimization (GWO), Particle Swarm Intelligence (PSO), and Imperialist Competitive Algorithm (ICA). This approach significantly reduces the mean absolute percentage error (MAPE) on the test set, showcasing the efficacy of these optimization techniques​.
 
 ## 2. [Robot Path Planning Using Genetic Algorithm](https://github.com/AliAmini93/robot-path-planning)
 
-In this project, a robot is tasked with navigating to a target while avoiding obstacles and minimizing the travel distance. The environment includes randomly shaped barriers, with fixed starting and ending points. The path to the target is determined using a Genetic Algorithm (GA), exemplifying an innovative approach to robot path planning​​.
+In this project, a robot navigates to a target while avoiding obstacles and minimizing the travel distance. The environment includes randomly shaped barriers, with fixed starting and ending points. The path to the target is determined using a Genetic Algorithm (GA), exemplifying an innovative approach to robot path planning​.
 
 ## 3. [Wireless Sensor Network (WSN) Routing Using Ant Colony Optimization](https://github.com/AliAmini93/WSN-routing)
 
-This project involves the deployment of low-power nodes in WSNs to efficiently collect field data. It introduces a novel routing strategy using Ant Colony Optimization, a swarm intelligence-based method. This strategy is particularly tailored for WSNs with stable nodes, optimizing the data gathering process in terms of energy efficiency
+This project involves deploying low-power nodes in WSNs to collect field data efficiently. It introduces a novel routing strategy using Ant Colony Optimization, a swarm intelligence-based method. This strategy is particularly tailored for WSNs with stable nodes, optimizing the data-gathering process in terms of energy efficiency

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 ## 1. [NASA Website Queries Prediction](https://github.com/AliAmini93/NASA-website-queries-prediction)
 -This project focuses on forecasting the number of queries to the NASA website. Utilizing a Multi-Layer Perceptron (MLP), the neural network weights are further optimized using various metaheuristics optimization algorithms including Grey Wolf Optimization (GWO), Particle Swarm Intelligence (PSO), and Imperialist Competitive Algorithm (ICA). This approach significantly reduces the mean absolute percentage error (MAPE) on the test set, showcasing the efficacy of these optimization techniques.
 +This project focuses on forecasting the number of queries to the NASA website. Utilizing a Multi-Layer Perceptron (MLP), the neural network weights are further optimized using various metaheuristics optimization algorithms including Grey Wolf Optimization (GWO), Particle Swarm Intelligence (PSO), and Imperialist Competitive Algorithm (ICA). This approach significantly reduces the mean absolute percentage error (MAPE) on the test set, showcasing the efficacy of these optimization techniques.
 ## 2. [Robot Path Planning Using Genetic Algorithm](https://github.com/AliAmini93/robot-path-planning)
 -In this project, a robot is tasked with navigating to a target while avoiding obstacles and minimizing the travel distance. The environment includes randomly shaped barriers, with fixed starting and ending points. The path to the target is determined using a Genetic Algorithm (GA), exemplifying an innovative approach to robot path planning.
 +In this project, a robot navigates to a target while avoiding obstacles and minimizing the travel distance. The environment includes randomly shaped barriers, with fixed starting and ending points. The path to the target is determined using a Genetic Algorithm (GA), exemplifying an innovative approach to robot path planning.
 ## 3. [Wireless Sensor Network (WSN) Routing Using Ant Colony Optimization](https://github.com/AliAmini93/WSN-routing)
 -This project involves the deployment of low-power nodes in WSNs to efficiently collect field data. It introduces a novel routing strategy using Ant Colony Optimization, a swarm intelligence-based method. This strategy is particularly tailored for WSNs with stable nodes, optimizing the data gathering process in terms of energy efficiency
 +This project involves deploying low-power nodes in WSNs to collect field data efficiently. It introduces a novel routing strategy using Ant Colony Optimization, a swarm intelligence-based method. This strategy is particularly tailored for WSNs with stable nodes, optimizing the data-gathering process in terms of energy efficiency