Results 21 to 30 of about 2,009 (157)
Particle swarm optimisation based video abstraction
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
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A memetic algorithm for high‐strength covering array generation
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
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Improving the search pattern of Rooted Tree Optimisation algorithm to solve complex problems
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
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A Novel Swarm Optimisation Algorithm Based on a Mixed-Distribution Model
Many swarm intelligence optimisation algorithms have been inspired by the collective behaviour of natural and artificial, decentralised, self-organised systems.
Xiaoming Zhang +3 more
doaj +1 more source
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
An efficient spotted hyena optimization based network log intrusions in massive server infrastructure [PDF]
With advancement of information technology, intrusion is becoming more common in the internet era. The increased use of cloud services have also resulted in assaults on servers.
Rajalingam R., Kavitha K.
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Frequency optimisation of composite cylinder using an evolutionary algorithm and neural networks [PDF]
The paper deals with the optimisation of dynamic properties of a composite cantilever cylinder. The optimised parameters are both the fundamental natural frequency f1 as well as the gap in frequency space around a selected external excitation force ...
Miller Bartosz, Ziemiański Leonard
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Feature selection is an important task to improve the classifier’s accuracy and to decrease the problem size. A number of methodologies have been presented for feature selection problems using metaheuristic algorithms.
Arfan Ali Nagra +6 more
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Critical Parameters in Particle Swarm Optimisation
9 pages, 5 ...
J. Michael Herrmann +2 more
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A new particle swarm optimiser for linearly constrained optimisation [PDF]
A new PSO algorithm, the linear PSO (LPSO), is developed to optimise functions constrained by linear constraints of the form Ax = b. A crucial property of the LPSO is that the possible movement of particles through vector spaces is guaranteed by the velocity and position update equations.
Ulrich Paquet, Andries P. Engelbrecht
openaire +1 more source

