SYSTEMS OPTIMIZATION USING EVOLUTIONARY ALGORITHMS
project report helper|
Active In SP
Joined: Sep 2010
01-10-2010, 11:11 AM
EAcourse syllabusnew.doc (Size: 60.5 KB / Downloads: 40)
Elective for VIII Semester (Mechanical and Electrical) EEM 823
SYSTEMS OPTIMIZATION USING EVOLUTIONARY ALGORITHM
Introduction to Optimization; Single Objective Optimization (SOP); Deterministic Optimization Methods (Gradient Descent, LP and QP); Stochastic Optimization Methods (random search, Simulated Annealing, Evolutionary Algorithms); Difficulties in Single Objective Optimization; Difficulties with Classical Optimization algorithms; Need for Evolutionary Algorithms.
Evolutionary Algorithm; EA operators (Selection, Recombination and Mutation operators);
Single Objective Optimization (SOP) using EAs; Design & Parameterization for Single Objective Applications; Problem Formulation and representation issues for different real world engineering SOPs; some competent EAs.
Discovery of innovative knowledge through Optimization;
Difficulties in EAs; No Free Lunch Theorem; Enhancing efficiency of EAs through incorporation of domain specific information and hybridization with expressly designed algorithms.
Introduction to Multi-objective Optimization (MOP); Concept of Pareto optimality; Issues in Multi-objective Optimization; Multi-objective Evolutionary Approaches; Design & Parameterization for Multi-objective Applications.
Constrained Multi-objective Optimization;
Dynamic Optimization; Robust Optimization; some real-world MOPs and their solution using MOEAs.