Evolutionary Algorithms Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Evolutionary Algorithms projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.

Evolutionary Algorithms Final Year Projects

TMaLB A Tolerable Many-Objective Load Balancing Technique for IoT Workflows Allocation

This project studies how to balance heavy and uneven data loads in Internet of Things systems. It looks at what factors matter most for good service, such as cost, speed, and energy use. The method uses an intelligent search algorithm to choose the best way to share work across devices. It improves both performance and the number of tasks the system can handle.
A Hybrid Discrete Artificial Bee Colony Algorithm for Imaging Satellite Mission Planning

This project focuses on planning imaging satellite missions efficiently. The researchers developed a new algorithm called HDABC, which improves how satellites are scheduled to capture images. The algorithm uses smart strategies to explore possible solutions, improve the best ones, and help weaker solutions learn from stronger ones. Experiments show that this method works well for different mission scenarios.

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Evolutionary Algorithms Project Synopsis & Presentation

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Evolutionary Algorithms Final Year Projects with Source Code