A Review of Bio-Inspired Computing Methods and Potential Applications
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Probably eighty percent or more of the published literature is covered by algorithms like neural networks, random forest and decision trees.
“Probably eighty percent or more of the published literature is covered by algorithms like neural networks, random forest and decision trees.”
From Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2021) · cites this paper as Chakraborty and Kar, 2016
Reviews of AI algorithms have demonstrated that most applications are focused on showcasing usage of relatively few approaches.
“Reviews of artificial intelligence algorithms (Chakraborty and Kar, 2016; Kar, 2016; Chakraborty and Kar, 2016) have demonstrated that most of these applications are focused on showcasing usage of relatively few approaches.”
From Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2021) · cites this paper as Chakraborty and Kar, 2016
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“Reviews of arti fi cial intelligence algorithms (Chakraborty & Kar, 2016; Kar, 2016; Chakraborty & Kar, 2017) have demonstrated that most of these applications are focused on showcasing usage of relatively few approaches.”
BackgroundSelf-citationTheory building with big data-driven research–Moving away from the “What” towards the “Why”
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Self-citationGrover, P., Kar, A. K., & Ilavarasan, P. V. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.009 · Cited by 163 · see citing works
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Self-citationPhishing website detection using support vector machines and nature-inspired optimization algorithms
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Self-citationCritical success factors for integrating artificial intelligence and robotics
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Self-citationA hybrid evolutionary approach for identifying spam websites for search engine marketing
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Self-citationInformation Management Challenges in Autonomous Vehicles
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Self-citationA hybrid bio-inspired computing approach for buzz detection in social media
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Self-citationIdentifying Popular Online News: An Approach Using Chaotic Cuckoo Search Algorithm
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Biologically Inspired Artificial Intelligence Techniques
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A Comprehensive Review of Bio-inspired Approaches in Agriculture
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Theory Building with Big Data-Driven Research - An Editorial Perspective - Abstract.
Kar, A. K. (2021)
Self-citationComparative Analysis of Feature Selection Methods Using Swarm-Based Optimization Techniques
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Statistical Evaluation of the Impact of Three Mixing Schemes on Raw DNA Sequences
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- Authors
- Chakraborty, A., & Kar, A. K.
- Affiliations
- Jadavpur University (IN)
- Indian Institute of Technology Delhi (IN)
- Corresponding author
- Chakraborty, Amrita
- ORCID
- Kar, Arpan Kumar
- Venue
- Lecture Notes in Electrical Engineering
- Publisher
- Springer India
- Published
- 2016
- Pages
- 155-161
- ISSN
- 1876-1100 (ISSN-L)
- 1876-1119
- OpenAlex
- W2530381641
- Cited by
- 19
- References
- 30
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2022: 1 · 2021: 4 · 2020: 4 · 2019: 2 · 2018: 1 · 2017: 3
- FWCI
- 3.50
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in electrical engineering (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
- Physical Sciences › Engineering › Biomedical Engineering › Artificial Immune Systems Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Mathematical Control Systems and Analysis
- Keywords
- bio-inspired computing, artificial neural networks, genetic algorithm, ant colony optimization, particle swarm optimization, artificial bee colony algorithm, algorithm selection
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