Genetic Algorithms & Optimization 🐋

• Sheet 1 - Methurisitc Optimization, Pareto Dominance, Pareto-Dominance Concepts, Pareto Dominance in Higher Dimensions, Distance Minimization Problem
• Sheet 2 - Apriori Methods, Apriori Methods in Higher Dimensions, Cone Domination, epsilon-Domination
• Sheet 3 - GA Problem Formulation, Interactive Methods, Hill Climbing, Traveling Thief Problem
• Sheet 4 - Basics of EA, Selection Mechanism & Selection Pressure, Mu-lambda selection method and Stochastic Universal Sampling, Crossover Methods
• Sheet 5 - Genetic Algorithms, Evolution Strategies-Covariance Matrix Adaptation Evolution Strategy (CMA-ES), Particle Swarm Optimization , Strength Pareto EA 2 (SPEA2)
• Sheet 6 - Epsilon-MOEA, NSGA-2, Crowding Distance, PlatEMO usage
• Sheet 7 - Multi-Objective EA based on Decomposition (MOEA/D), Multi-Objective PSO, Robustness-I, Robustness-II
• Sheet 8 - Robustness & Reliability in MOP, Constraint Handling
• Sheet 9 - Generational Distance (GD) & Inverted Generational Distance (IGD), Hypervolume (HV), C-metric, Marginal Hypervolume (HV)