SYSTEMS OPTIMIZATION USING EVOLUTIONARY ALGORITHMS

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Elective for VII Semester (Mechanical and Electrical) EEM 823

SYSTEMS OPTIMIZATION USING EVOLUTIONARY ALGORITHM

Syllabus
Unit I
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.
Unit II
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.
Unit II
Constrained SOP;
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.
Unit IV
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.
Unit V
Constrained Multi-objective Optimization;
Dynamic Optimization; Robust Optimization; some real-world MOPs and their solution using MOEAs.