The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Genetic algorithms and their applications
Abstract
This article introduces the genetic algorithm (GA) as an emerging optimization algorithm for signal processing. After a discussion of traditional optimization techniques, it reviews the fundamental operations of a simple GA and discusses procedures to improve its functionality. The properties of the GA that relate to signal processing are summarized, and a number of applications, such as IIR adaptive filtering, time delay estimation, active noise control, and speech processing, that are being successfully implemented are described.
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Cites
Dynamic Programming Algorithm Optimization for Spoken Word Recognition
Sakoe, H., & Chiba, S. (1978) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1978.1163055 · Cited by 6,727
Cited by
Bio inspired computing – A review of algorithms and scope of applications
Kar, A. K. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.04.018 · Cited by 578
Artificial neural networks and genetic algorithm for bearing fault detection
Samanta, B., Al-Balushi, K. R., & Al-Araimi, S. A. (2006) · Soft Computing · doi:10.1007/s00500-005-0481-0 · Cited by 182
A Comprehensive Review of Path-Planning Algorithms for Planetary Rover Exploration
Miao, Q., & Wei, G. (2025) · Remote Sensing · doi:10.3390/rs17111924 · Cited by 13
Metadata
- Authors
- Tang, K. S., Man, K. F., Kwong, S., & He, Q.
- Venue
- IEEE Signal Processing Magazine
- Published
- 1996
- Volume
- 13
- Issue
- 6
- Pages
- 22-37
- ISSN
- 1053-5888 (ISSN-L)
- OpenAlex
- W2169542477
- Cited by
- 1,095
- References
- 1
- FWCI
- 17.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Genetic algorithms and their applications. https://app.cochat.ai/papers/10.1109/79.543973
- The paper
- Tang, K. S., Man, K. F., Kwong, S., & He, Q. (1996). Genetic algorithms and their applications. IEEE Signal Processing Magazine. https://doi.org/10.1109/79.543973
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
