1. Introduction
  1.1 Background and motivation
  1.2 Objectives of the project
2. Literature Review
  2.1 Overview of optimization problems
  2.2 Introduction to genetic algorithms
  2.3 Applications of genetic algorithms in optimization
3. Methodology
  3.1 Genetic algorithm implementation
  3.2 Selection of optimization problems
  3.3 Performance metrics and evaluation criteria
4. Experimental Results
  4.1 Performance comparison with other optimization techniques
  4.2 Analysis of algorithm parameters and their impact
5. Discussion
  5.1 Interpretation of experimental results
  5.2 Limitations and challenges