Particle swarm optimization based on temporal-difference learning for solving multi-objective optimization problemsComputing - Tập 105 - Trang 1795-1820 - 2023
Desong Zhang, Guangyu Zhu
Multi-objective evolutionary algorithms have become the most important method to
deal with multi-objective optimization problems (MOP). To improve the
performance of particle swarm optimization (PSO) in addressing MOPs, a
multi-objective PSO based on temporal-difference learning (TDLMOPSO) is proposed
in this paper. The iteration process of TDLMOPSO is transformed into a Markov
decision process, p... hiện toàn bộ
Adaptive federated learning scheme for recognition of malicious attacks in an IoT networkComputing - - Trang 1-16 - 2023
Prateek Chhikara, Rajkumar Tekchandani, Neeraj Kumar
The Internet of Things (IoT) is crucial for deploying a novel Artificial
Intelligence (AI) model for both network and application management. However,
using classical centralized learning algorithms in the IoT environment is
challenging, given massively distributed private datasets. Advancements in AI
have helped us solve various use cases, but it operates under two significant
challenges. Firstly... hiện toàn bộ
Implicitization of Parametric Curves via Lagrange InterpolationComputing - Tập 77 - Trang 379-386 - 2006
Yongli Sun, Jianping Yu
A simple algorithm for finding the implicit equation of a parametric plane curve
given by its parametric equations is presented. The algorithm is based on an
efficient computation of the Bézout resultant and Lagrange interpolation. One of
main features of our approach is the fact that it considerably reduces the
problem of computing intermediate expressions.
Context recognition and ubiquitous computing in smart cities: a systematic mappingComputing - Tập 103 - Trang 801-825 - 2021
Leonardo Vianna do Nascimento, Guilherme Medeiros Machado, Vinícius Maran, José Palazzo M. de Oliveira
Smart cities are one of the emerging domains for computational applications.
Many of these applications may benefit from the ubiquitous computing paradigm to
provide better services. An important aspect of these applications is how to
obtain data about their users and understand them. Context-aware approaches has
been proven to be successful in understanding these data. These solutions obtain
data... hiện toàn bộ
Numerical solution of the Boltzmann equation on the uniform gridComputing - Tập 69 - Trang 163-186 - 2002
I. Ibragimov, S. Rjasanow
In the present paper a new numerical method for the Boltzmann equation is
developed. The gain part of the collision integral is written in a form which
allows its numerical computation on the uniform grid to be carried out
efficiently. The amount of numerical work is shown to be of the order O(n
6log(n)) for the most general model of interaction and of the order O(n 6) for
the Variable Hard Sphere... hiện toàn bộ
MDER: modified degree with exclusion ratio algorithm for influence maximisation in social networksComputing - Tập 104 - Trang 359-382 - 2021
Sanjay Kumar, Dipti Lohia, Darsh Pratap, Ashutosh Krishna, B. S. Panda
The online social network has become an integral part of our day to life and
serves as an excellent platform for sharing ideas, opinions, and products.
Influence maximization (IM) is a widely studied topic in the area of social
network analysis. The objective of IM is to find influential nodes that can
disseminate information to a larger extent in the network. Many local and global
centrality meas... hiện toàn bộ
A second order monotone upwind schemeComputing - Tập 36 - Trang 57-67 - 1986
H. -G. Roos
We analyze a special finite difference scheme of upwind type for an ordinary
singularly perturbed nonlinear boundary value problem. In particular we prove
the uniqueness and monotone dependence upon the right hand sides of the discrete
solutions and the second order accuracy in the global domain.
Distribution of Lattice PointsComputing - Tập 78 - Trang 173-193 - 2006
F. Sezgin
We discuss the lattice structure of congruential random number generators and
examine figures of merit. Distribution properties of lattice measures in various
dimensions are demonstrated by using large numerical data. Systematic search
methods are introduced to diagnose multiplier areas exhibiting good, bad and
worst lattice structures. We present two formulae to express multipliers
producing wors... hiện toàn bộ