IEEE

A Co-Evolutionary Genetic Algorithm Approach to Optimizing Deep Learning for Brain Tumor Classification

Abstract: Brain tumors are among the deadliest diseases, leading researchers to focus on improving the accuracy of tumor classification—a critical task for prompt diagnosis and effective treatment.
IEEE

Comparative Study of Ant Colony Algorithm and Genetic Algorithm in Path Planning

Abstract: This paper compared and contrasted ant colony algorithm (ACO) and genetic algorithm (GA) application in path planning. Through experiments in environments with different complexity, two ...
IEEE

Mathematical Modeling and Simulation of Traffic Flow Control in Urban Environments Using Fuzzy Deep Neural Network With Optimization Algorithm

Abstract: With the enlarging number of transports on the road and fast growth, traffic flow is a significant current worry that obstructs the financial system’s evolution and affects the quality of ...
IEEE

Optimizing Low-Voltage Ride-Through (LVRT) Curves for Wind Farms Using Genetic Algorithms: A Case Study of Taiwan Power System

Abstract: Recently the capacity of installed wind energy has continued to expand, necessitating that power companies develop specified low-voltage ride-through (LVRT) curves to address unexpected ...
IEEE

A Comprehensive Analysis of Cryptographic Algorithms: Evaluating Security, Efficiency, and Future Challenges

Abstract: Cryptographic techniques are reviewed in this literature review, with particular attention paid to their applicability, importance, contributions, and field strengths. These algorithms ...
IEEE

Adaptive Harmonic Power Flow Algorithm for Hybrid AC/DC Transmission Systems Under Geomagnetic Disturbance Threats

Abstract: With the ongoing integration of new generation resources and evolving load profiles in modern power systems, the presence of harmonic pollution in the electric power network is continuously ...
IEEE

A Large Language Model-Designed Genetic Algorithm for Re-entrant Flexible Flow Shop Scheduling Problem

Abstract: Evolutionary algorithms face critical design limitations including operator customization depending on expert knowledge and inefficient parameter tuning. To overcome these challenges, this ...
IEEE

Effective NSGA-II Algorithm for a Limited AGV Scheduling Problem in Matrix Manufacturing Workshops with Undirected Material Flow

Abstract: Automatic guided vehicles (AGVs) are extensively employed in manufacturing workshops for their high degree of automation and flexibility. This paper investigates a limited AGV scheduling ...
GitHub

gfg-self-paced-dsa

Includes notes and Java code implementations for various problems and concepts covered in the GeeksforGeeks “Data Structures and Algorithms Complete Course.” ...
IEEE

Investigating the Computational Complexity of the Genetic Algorithm with Variations in Population Size and the Number of Generations

Abstract: The paper is dedicated to assessing the computational complexity of the genetic algorithm as one of the key tools for solving optimization problems. The main types of algorithmic complexity ...
IEEE

Selection Techniques in Genetic Algorithm

Abstract: Genetic algorithms (GA) are search engines that either optimize or reduce predefined functions. The technique of selection is an important phase in GA. This research study aims to evaluate, ...