A Critical Analysis of Genetic Algorithms for Optimized Solutions

The natural process of genetic development in living organisms is analogous to the growth of genetic algorithms, an intelligent bionic algorithm with tremendous potential for global optimization. The cornerstone of genetic algorithms is first explained in this publication, which is based on Darwin’s “survival of the fittest.” After that, it briefly goes into the main characteristics of the algorithm and its shortcomings. An extensive explanation of genetic algorithms, including their structure, is given in this paper. It also covers applications, genetic operators particular to a given application, and taxonomy. This review paper covers all facets of genetic algorithms, including the problems and difficulties that arise from them as well as their solutions.

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Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1109/ic3i61595.2024.10828809
Primary Topic
Evolutionary Algorithms and Applications
Type
article
Field-Weighted Citation Impact
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article

A Critical Analysis of Genetic Algorithms for Optimized Solutions

Rakesh Chandrashekar, K. Vimala Kumar, Vivek Garg, S. Naveen Kumar
Evolutionary Algorithms and Applications
article

A Critical Analysis of Genetic Algorithms for Optimized Solutions

Rakesh Chandrashekar, K. Vimala Kumar, Vivek Garg, S. Naveen Kumar
article en

Abstract

The natural process of genetic development in living organisms is analogous to the growth of genetic algorithms, an intelligent bionic algorithm with tremendous potential for global optimization. The cornerstone of genetic algorithms is first explained in this publication, which is based on Darwin’s “survival of the fittest.” After that, it briefly goes into the main characteristics of the algorithm and its shortcomings. An extensive explanation of genetic algorithms, including their structure, is given in this paper. It also covers applications, genetic operators particular to a given application, and taxonomy. This review paper covers all facets of genetic algorithms, including the problems and difficulties that arise from them as well as their solutions.

Openalex Percentile: Top 77%
Evolutionary Algorithms and Applications
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A Critical Analysis of Genetic Algorithms for Optimized Solutions — Rakesh Chandrashekar, K. Vimala Kumar, et al. · (2024) | TGRS Research Map | TGRS