演化式計算

Introduce state-of-the-art evolutionary computation, use evolutionary systems as computational processes for solving complex engineering and scientific problems. Examine applications in IC design, artificial neural networks, machine learning, optimization, and evolutionary robotics/things. In additional to gaining understanding of applications in design and optimization, students will more importantly gain general understanding of EC as one of the foundational approaches to machine learning, soft computing, and global optimization/search, which has broad applicability across many domains including engineering computation, IoT, robotics, classification, adaptive agent learning, and neural networks.

• • Object-oriented Python programming
• • Production Software Development Best Practices
• • Common EC Methods
• Components of EC
• EC Problem Solving
• • Python Multiprocessing
• • Parallel processing EC's
• • Multi-objective and constrained EC's
• • Multi-objective and constrained EC's
• • Advanced Application Topics
• • History and fundamentals of Evolutionary Computation (EC)