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| IE 54100 - Nature-Inspired Computation |
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Associated Term:
Fall 2019
Learning Outcomes: 1. Describe the natural phenomena that motivate the discussed algorithms. 2. Understand the strengths, weaknesses and appropriateness of nature-inspired algorithms. 3. Apply nature-inspired algorithms to optimization, design and learning problems. 4. Understand fundamental concepts of NP-hardness and computational complexity. 5. Prove algorithm convergence rates using probabilistic arguments. 6. Perform appropriate analyses on and between the outputs of stochastic algorithms. 7. Analyze search space structure using statistical and information theoretic measures and explain its impact on algorithm behavior and output. Required Materials: Technical Requirements: |
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