Results 21 to 30 of about 27,349 (293)
An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis [PDF]
, 2019 open access articleThis article presents a novel hybrid classification paradigm for medical diagnoses and prognoses prediction. The core mechanism of the proposed method relies on a centroid classification algorithm whose logic is exploited to formulate ...
Caraffini, Fabio +2 more
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Firefly Algorithm, Stochastic Test Functions and Design Optimisation [PDF]
, 2010 Modern optimisation algorithms are often metaheuristic, and they are very promising in solving NP-hard optimization problems. In this paper, we show how to use the recently developed Firefly Algorithm to solve nonlinear design problems.
Yang, Xin-She
core +1 more source
Particle swarm optimisation based video abstraction
Journal of Advanced Research, 2010 Video abstraction is a basic step for intelligent access to video and multimedia databases which facilitates content-based video indexing, retrieving and browsing. This paper presents a new video abstraction scheme.
Magda B. Fayk +2 more
doaj +1 more source
Adaptive intelligence applied to numerical optimisation [PDF]
, 2010 The article presents modification strategies theoretical comparison and experimental results achieved by adaptive heuristics applied to numerical optimisation of several non-constraint test functions.
D.E. Goldberg +9 more
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A memetic algorithm for high‐strength covering array generation
IET Software, 2023 Covering array generation (CAG) is the key research problem in combinatorial testing and is an NP‐complete problem. With the increasing complexity of software under test and the need for higher interaction covering strength t, the techniques for ...
Xu Guo +5 more
doaj +1 more source
Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression [PDF]
, 2010 We develop a particle swarm optimisation (PSO) aided orthogonal forward regression (OFR) approach for constructing radial basis function (RBF) classifiers with tunable nodes.
Chen, S, Harris, C J, Hong, Xia
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Improving the search pattern of Rooted Tree Optimisation algorithm to solve complex problems
Results in Control and Optimization, 2021 Rooted Tree Optimisation (RTO) is a metaheuristic method for solving complex problems. Roots in RTO move to new search space without evaluating such move for better fitness values.
Sola Eboda Edagbami +4 more
doaj +1 more source
A novel particle swarm optimisation with mutation breeding
Connection Science, 2020 The diversity of the population is a key factor for particle swarm optimisation (PSO) when dealing with most optimisation problems. The best previously visited positions of each particle are the exemplar in PSO to guide particle swarm to search, and the ...
Zhe Liu, Fei Han, Qing-Hua Ling
doaj +1 more source
Annals of Medicine, 2022 Background Controlling the epidemic spread and establishing the immune barrier in a short time through accurate vaccine demand prediction and optimised vaccine allocation strategy are still urgent problems to be solved under the condition of frequent ...
Tianan Yang +3 more
doaj +1 more source
Particle swarm optimisation for outlier detection [PDF]
Proceedings of the 12th annual conference on Genetic and evolutionary computation, 2010 Outlier detection is an important problem as the underlying data points often contain crucial information, but identifying such points has multiple challenges, e.g. noisy data, imprecise boundaries and lack of training examples. In the novel approach presented in this paper, the outlier detection problem is converted into an optimisation problem.
Mohemmed, Ammar W. +2 more
openaire +2 more sources