Results 201 to 210 of about 30,043 (263)
Integrating gamification into a MILP for flexible smart charging of EVs in public parking lots. [PDF]
de-Larriva-Serrano F +4 more
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Perception of artificial intelligence and machine learning applications in the Nigerian healthcare sector: A cross-sectional study. [PDF]
Adigwe OP, Onavbavba G.
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Establishment of Local Diagnostic Reference Levels for Adult CT Brain in Johannesburg, South Africa: A Retrospective Protocol Study. [PDF]
Seekoei KG +3 more
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A hybrid PSO with EM for global optimisation
International Journal of Modelling, Identification and Control, 2009Heuristic optimisation provides a robust and efficient approach for solving complex real-world problems. The focus of this research is on a hybrid method combining two heuristic optimisation techniques, particle swarm optimisation (PSO) and electromagnetism-like (EM) mechanism, called PSO-EM, for the global optimisation of functions.
Dayou Liu
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Global Optimisation with Constructive Reals
2021 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 2021We draw new connections between deterministic, complete, and general global optimisation of continuous functions and a generalised notion of regression, using constructive type theory and computable real numbers. Using this foundation we formulate novel convergence criteria for regression, derived from the convergence properties of global optimisations.
Dan R. Ghica, Todd Waugh Ambridge
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Phototropic algorithm for global optimisation problems
Applied Intelligence, 2021Problem solving and decision-making have a vital role to play in both technical and non-technical fields. Some decisions are simple while others require more effort and time to solve. This article introduces a new problem solving technique called Phototropic optimization algorithm, inspired from the optimised growth pattern in plants.
S. S. Vinod Chandra, S. Anand Hareendran
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Human group optimiser for global numerical optimisation
International Journal of Bio-Inspired Computation, 2014In this paper, the previously proposed seeker optimisation algorithm (SOA) is renamed as human group optimisation (HGO) algorithm, which is a novel population-based heuristic stochastic search algorithm by simulating human group searching behaviours.
Chaohua Dai +4 more
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