Bio inspired computing - A review of algorithms and scope of applications

By Arpan Kumar Kar. Expert systems with applications, 2016

520 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/4b96b327c8c128e07266f4059b76d1bc98d08a3a

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In Mechanical Engineering

Citations in the corpus

Routing in Flying Ad Hoc Networks: A Comprehensive Survey (2020, background): “Recently, bio-inspired computing inspired by biological systems has been attracting signiﬁcant interest owing to its high performance results and capabilities to solve different complex optimization problems [158].”
Swarm Intelligence Algorithms for Feature Selection: A Review (2018, background): “In recent years, a considerable number of new swarm-inspired algorithms have emerged, as can be seen in the scope of surveys (e.g., [9,10]).”
Red deer algorithm (RDA): a new nature-inspired meta-heuristic (2020, methodology): “To have a fair comparison between the algorithms, the comparison should be based on an equal number of fitness evaluations or equal process time (Kar 2016; Kaveh 2016; Hussain et al. 2018).”
A comprehensive survey on network anomaly detection (2018, background): “The field of evolutionary computation, also named bioinspired computing [135], is a set of intelligent algorithms and methods inspired by natural evolution and able to learn and adapt like biological organisms [136].”
Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems (2020, background): “To name a few domains, drug design [5], feature selection [6], motif discovery problem [7, 8], engineering, medical, agriculture, finance and economics are among the beneficiaries [9, 10].”
The Social Engineering Optimizer (SEO) (2018, unknown): “So, the knowledge of the search phases in meta-heuristics is useful for developing a new one (Kar, 2016).”
Artificial intelligence for decision making in the era of Big Data - evolution, challenges and research agenda (2019, methodology): “Neural networks and genetic algorithms are both examples of techniques inspired by biology: a review of those and others may be found in Kar (2016).”
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2019, background): “Reviews of artificial 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.”
Measuring social media influencer index- insights from facebook, Twitter and Instagram (2019, background): “Evolutionary intelligence including swarm intelligence and bio-inspired computing approaches could be incorporated for finding the optimal value of these weights (Kar, 2016; Aswani et al., 2018a).”
Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review (2020, methodology): “The work of Kar [153], Chakraborty and Kar [154], and Lakshmaiah et al. [155] are reviews that provide extended information about these algorithms.”
Bio-inspired computation: Where we stand and what's next (2019, unknown): “bio-inspired proposals contributed in last years [319].”