Multi-Objective Optimization with Python Bootcamp A-Z

Files Included :

1 Course Content.mp4 (15.18 MB)
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2 Course Information.mp4 (13.48 MB)
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1 Introduction to Google Colab Environment.mp4 (53.24 MB)
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2 NumPy Crash Course.mp4 (73.7 MB)
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3 Genetic Algorithm Concept – Biological.mp4 (72.36 MB)
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4 Genetic Algorithm Concept - Mathematical.mp4 (27.3 MB)
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1 Introduction to Multi-objective Optimization.mp4 (28.96 MB)
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2 Introduction to pymoo Library.mp4 (11.74 MB)
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1 Problem Formulation.mp4 (10.84 MB)
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2 pymoo Installation.mp4 (41.42 MB)
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3 Class Development.mp4 (169.29 MB)
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4 Initializing an Algorithms.mp4 (143.71 MB)
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5 Optimization Process.mp4 (154.11 MB)
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6 Results & Visualization.mp4 (46.43 MB)
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1 What is Pareto Front.mp4 (27.36 MB)
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2 What is Multi-Criteria Decision Making (MCDM).mp4 (10.38 MB)
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3 Introduction to Compromise Programming.mp4 (19.31 MB)
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4 Introduction to Pseudo-Weights.mp4 (13.96 MB)
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5 Normalization (Ideal Point and Nadir Point).mp4 (93.78 MB)
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6 Decision Making Using Compromise Programming.mp4 (95.44 MB)
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7 Decision Making Using Pseudo-Weights Method.mp4 (58.98 MB)
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1 Exercise.mp4 (40 MB)
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