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The Role of Artificial Intelligence in Evolving Genetic Operators: Trends and Perspectives

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The Role of Artificial Intelligence in Evolving Genetic Operators: Trends and Perspectives


Vishant | Renu



Vishant | Renu "The Role of Artificial Intelligence in Evolving Genetic Operators: Trends and Perspectives" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-3, June 2025, pp.1358-1363, URL: https://www.ijtsrd.com/papers/ijtsrd97173.pdf

New avenues for the creation of intelligent, adaptive optimization strategies have been made possible by the combination of genetic algorithms (GAs) with artificial intelligence (AI). Through the introduction of learning-driven, context-aware, and dynamically adaptive mechanisms, this study investigates the developing role of AI in improving genetic operators—selection, crossover, and mutation. Because they frequently depend on heuristic rules and static probabilities, traditional genetic operators are not as effective in a variety of complicated problem spaces. Intelligent genetic operators that can self-tune, predict convergence trends, and preserve variety are the result of recent developments that use machine learning, deep learning, and reinforcement learning techniques. Current developments in AI-augmented GAs are reviewed, along with significant advancements in operator design and their effects on scalability and performance in multi-objective and real-time optimization problems. There are additional viewpoints on new issues including interpretability, computational overhead, and hybrid system design. Driven by the synergy between AI and evolutionary computation, the results point to a paradigm shift toward more autonomous and problem-specific evolutionary algorithms.

Genetic Operators, Intelligent Optimization, Self-tuning Operators


IJTSRD97173
Volume-9 | Issue-3, June 2025
1358-1363
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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