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Browsing by UP Author "Pillay, Nelishia"
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Van der Merwe, Barend Jacobus; Pillay, Nelishia; Coetzee, Serena Martha (Elsevier, 2022-06)Barchan morphometric data have been used as proxies of meteorological and topographical data in environments where this data is lacking (such as other planetary bodies), gaining insights into barchan dune field dynamics ...
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Pillay, Nelishia; Qu, Rong; Srinivasan, Dipti; Hammer, Barbara; Sorensen, Kenneth (Institute of Electrical and Electronics Engineers, 2018-05)The three articles in this special section focus on the development of automated design of machine learning and search algorithms. There is a demand, especially from industry and business, to automate the design of machine ...
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Gerber, Mia; Pillay, Nelishia (MDPI, 2022-11-29)Deep neural networks have proven to be effective in various domains, especially in natural language processing and image processing. However, one of the challenges associated with using deep neural networks includes the ...
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Pillay, Nelishia; Özcan, Ender (Springer, 2019-04)Construction heuristics play an important role in solving combinatorial optimization problems. These heuristics are usually used to create an initial solution to the problem which is improved using optimization techniques ...
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Kuranga, Cry; Pillay, Nelishia (Elsevier, 2022-03)Usually, real-world time-series forecasting problems are dynamic. If such time-series are characterized by mere concept shifts, a passive approach to learning become ideal to continuously adapt the model parameters whenever ...
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Craze, Hamish A.; Pillay, Nelishia; Joubert, Fourie; Berger, David Kenneth (MDPI, 2022-07-26)Maize yields worldwide are limited by foliar diseases that could be fungal, oomycete, bacterial, or viral in origin. Correct disease identification is critical for farmers to apply the correct control measures, such as ...
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Hassan, Ahmed; Pillay, Nelishia (Springer, 2021-11)Selection hyper-heuristics have proven to be effective in solving various real-world problems. Hyper-heuristics differ from traditional heuristic approaches in that they explore a heuristic space rather than a solution ...
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Kapoor, Rahul; Pillay, Nelishia (Springer, 2024-03)Neural architecture search (NAS) is a rapidly growing field which focuses on the automated design of neural network architectures. Genetic algorithms (GAs) have been predominantly used for evolving neural network architectures. ...
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Kuranga, Cry; Pillay, Nelishia (Springer, 2021-09)Various machine learning techniques exist to perform regression on temporal data with concept drift occurring. However, there are numerous nonstationary environments where these techniques may fail to either track or detect ...
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Cruz-Duarte, Jorge M.; Ortiz-Bayliss, Jose C.; Amaya, Ivan; Pillay, Nelishia (MDPI, 2021-06)Optimisation has been with us since before the first humans opened their eyes to natural phenomena that inspire technological progress. Nowadays, it is quite hard to find a solver from the overpopulation of metaheuristics ...
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Hassan, Ahmed; Pillay, Nelishia (Elsevier, 2019-09)Hybrid metaheuristics have proven to be effective at solving complex real-world problems. However, designing hybrid metaheuristics is extremely time consuming and requires expert knowledge of the different metaheuristics ...
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Pillay, Nelishia (Springer, 2020-06)Since its inception genetic programming, and later variations such as grammar-based genetic programming and grammatical evolution, have contributed to various domains such as classification, image processing, search-based ...
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Van Heerden, Ashleigh; Turon, Gemma; Duran-Frigola, Miquel; Pillay, Nelishia; Birkholtz, Lyn-Marie (American Chemical Society, 2023-11-07)Efficacy data from diverse chemical libraries, screened against the various stages of the malaria parasite Plasmodium falciparum, including asexual blood stage (ABS) parasites and transmissible gametocytes, serve as a ...
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Pretorius, Kyle; Pillay, Nelishia (Springer, 2024-06)The use of genetic algorithms (GAs) to evolve neural network (NN) weights has risen in popularity in recent years, particularly when used together with gradient descent as a mutation operator. However, crossover operators ...
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Kuranga, Cry; Pillay, Nelishia (Springer, 2020-11)This paper extends a PSO-based nonlinear regression technique to dynamic environments whereby the induced model dynamically adjusts when an environmental change is detected. As such, this work hybridizes a PSO designed for ...
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Singh, Emilio; Pillay, Nelishia (Elsevier, 2022-07)Research into the applicability of ant-based optimisation techniques for hyper-heuristics is largely limited. This paper expands upon the existing body of research by presenting a novel ant-based generation constructive ...
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Beckedahl, Derrick; Pillay, Nelishia (Springer, 2020-10)Traditionally search techniques explore a single space to solve the problem at hand. This paper investigates performing search across more than one space which we refer to as bi-space search. As a proof of concept we ...
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O’Reilly, Jared; Pillay, Nelishia (Springer, 2022-07)Research efforts in the improvement of artificial neural networks have provided significant enhancements in learning ability, either through manual improvement by researchers or through automated design by other artificial ...
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Cruz-Duarte, Jorge M.; Ortiz-Bayliss, Jose C.; Amaya, Ivan; Shi, Yong; Terashima-Marin, Hugo; Pillay, Nelishia (MDPI, 2020-11-17)Metaheuristics have become a widely used approach for solving a variety of practical problems. The literature is full of diverse metaheuristics based on outstanding ideas and with proven excellent capabilities. Nonetheless, ...
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Pillay, Nelishia; Pillay, Nelishia (Association for Computing Machinery, 2022-07)No abstract available.
Now showing items 1-20 of 20