Journal ArticleDOI
Quantum-Inspired Linear Genetic Programming as a Knowledge Management System
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This article is published in The Computer Journal.The article was published on 2013-09-01. It has received 10 citations till now. The article focuses on the topics: Linear genetic programming & Inductive programming.read more
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Journal ArticleDOI
Quantum inspired evolutionary algorithm for ordering problems
TL;DR: The proposed quantum-inspired order-based evolutionary algorithms have been evaluated for two well-known benchmark applications - the traveling salesman problem (TSP) and the vehicle routing problem (VRP) - as well as in a real problem of line scheduling.
Journal ArticleDOI
Cognitive computing models for estimation of reference evapotranspiration: A review
Pradeep Hebbalaguppae Krishnashetty,Jasma Balasangameshwara,Sheshshayee M. Sreeman,Sujeet Desai,Archana Bengaluru Kantharaju +4 more
TL;DR: In this article, a review has been carried out over cognitive computing models used for the estimation of reference evapotranspiration (ET0) is a vital factor to predict the crop water requirements based on climate data.
Journal ArticleDOI
Evolving GPU machine code
Cleomar Pereira da Silva,Douglas Mota Dias,Cristiana Bentes,Marco Aurélio Cavalcanti Pacheco,Leandro F. Cupertino +4 more
TL;DR: This paper proposes a new methodology that uses the concepts of quantum computing and directly handles the GPU machine code instructions and utilizes a probabilistic representation of an individual to improve the global search capability.
Journal ArticleDOI
Neuroevolutionary learning in nonstationary environments
TL;DR: The results show that the accuracy of NEVE is higher in most cases and the best configurations are obtained using some mechanism for drift detection, reinforcing that the neuroevolutionary ensemble approach is a robust choice for situations in which the datasets are subject to sudden changes in behaviour.
Proceedings ArticleDOI
Resource optimization for elective surgical procedures using quantum-inspired genetic algorithms
TL;DR: A new model, based on a quantum-inspired evolutionary algorithm, to optimize the scheduling of for elective surgical procedures, aims not only to designate the necessary resources to the patients in order to achieve the successful completion of the chirurgical procedure, but also to reduce the total time used to perform all surgeries and the number of surgeries out of term.