Optimasi Modern

Mata kuliah ini mempelajari tentang pendahuluan optimasi modern, Metode optimisasi modern, algoritma genetika, Simulated Annealing, Particle Swarm Optimization, Ant Colony Optimization, optimisasi sistem fuzzy, aspek praktis optimisasi: reduksi ukuran permasalahan optimasi, Fast Reanalysis, Derivatives of Static Displacements and Stresses, Derivatives of Eigenvalues and Eigenvectors, Derivatives of Transient Response, Sensitivity of Optimum Solution to Problem Parameters, Multilevel Optimization, Parallel Processing dan optimasi Multiobjective.