Genetic Algorithms (GA)
Principles of Darwinian natural selection, chromosome encoding, genetic operators (selection, crossover, mutation), elitism, and step-by-step solved binary optimization.
Mathematical optimization of objectives under constraints.
View all tagsPrinciples of Darwinian natural selection, chromosome encoding, genetic operators (selection, crossover, mutation), elitism, and step-by-step solved binary optimization.
The 5 formal components of optimization, local vs. global optima, heuristic vs. metaheuristic foundations, exploration-exploitation mechanics, and the master 5-branch taxonomy.
High-yield revision checklist, core definitions, and complete mathematical formula sheet for Module 4 (Design of Experiments & Optimization).
Physical metallurgy principles of Simulated Annealing (SA), Metropolis acceptance probability, flocking dynamics of Particle Swarm Optimization (PSO), and velocity/position updates.