Downloads: 3 | Views: 120 | Weekly Hits: ⮙3 | Monthly Hits: ⮙3

Survey Paper | Computer Science | India | Volume 13 Issue 7, July 2024 | Popularity: 5 / 10

Rate This Article!      

Genetic Algorithms - A Brief Study

Ahana Srinath Murthy, Dr. Dattatreya P. Mankame

Abstract: Genetic algorithms (GAs) are a powerful optimization technique inspired by the principles of natural selection and genetics. This paper provides a comprehensive overview of the various types of GAs, including basic, steady - state, and hybrid models, and explores their diverse applications in fields such as neural network optimization, travelling salesman problem, portfolio optimization, electrical circuit design, scheduling, and drug design. By leveraging evolutionary processes, GAs have demonstrated their ability to effectively navigate complex search spaces and identify optimal solutions. However, their implementation presents several challenges, including premature convergence, computational intensity, and the need for careful parameter tuning. Through a synthesis of foundational works by Holland (1975), Goldberg (1989), and contemporary studies by Deb (2001) and Michalewicz (1996), this paper highlights both the strengths and limitations of GAs. It underscores the potential for future advancements in addressing current challenges, thereby enhancing the efficiency and applicability of genetic algorithms in solving increasingly complex real - world problems.

Keywords: Genetic Algorithms, Evolutionary Algorithms

Edition: Volume 13 Issue 7, July 2024

Pages: 1195 - 1200

DOI: https://www.doi.org/10.21275/SR24721004409

Make Sure to Disable the Pop-Up Blocker of Web Browser

Click to Cite this Article

Similar Articles