Results 101 to 110 of about 2,009 (157)

Hybrid ECCMGO-MPCOA framework with ASTRA-based trust and intrusion detection for secure and energy-efficient MANET communication. [PDF]

Sci Rep
K M, S M, A SB, R S.
europepmc   +1 more source

Toward Autonomous UAV Swarm Navigation: A Review of Trajectory Design Paradigms. [PDF]

Sensors (Basel)
Arshid K, Krayani A, Marcenaro L, Gomez DM, Regazzoni C.   +4 more
europepmc   +1 more source

Single-Criterion Optimisation with Consideration of Uncertainties of the Composite Multi-Layer Slabs. [PDF]

Materials (Basel)
Smela P, Miller B.
europepmc   +1 more source

Optimal scheduling study of microgrids based on multistrategy improved sardine algorithm. [PDF]

Sci Rep
Wei L, Zhong H.
europepmc   +1 more source

Optimizing image watermarking integrity and visual quality via DTPSO and hybrid transform methods. [PDF]

Sci Rep
Khafaga DS, El-Kenawy EM, Khodadadi N, Eid MM, Mirjalili S.   +4 more
europepmc   +1 more source

Data-driven prediction and thermodynamic performance assessment of industrial cooling towers using advanced machine learning algorithms. [PDF]

PLoS One
Jamil SR, Shehzad A, Usman M, Abbas MM, Qaisrani OZ, Saleem MW, Musharaf HM, Petrů J, Bashir MN, Fouad Y.   +9 more
europepmc   +1 more source

Energy-aware and trust-based secure routing in manets using swarm intelligence techniques. [PDF]

Sci Rep
Hemalatha S, Das NN, Arunkumar R, Singh C.   +3 more
europepmc   +1 more source

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Mean particle swarm optimisation for function optimisation

International Journal of Computational Intelligence Studies, 2009
In this paper, a new particle swarm optimisation algorithm, called MeanPSO, is presented, based on a novel philosophy by modifying the velocity update equation. This is done by replacing two terms of original velocity update equation by two new terms based on the linear combination of pbest and gbest.
Kusum Deep, Jagdish Chand Bansal
exaly   +2 more sources

Particle swarm optimisation: time for uniformisation

International Journal of Computing Science and Mathematics, 2013
Particle swarm optimisation PSO is an evolutionary algorithm that has been successfully applied to many optimisation problems in different fields. PSO has been heuristically proposed based in a social analogy for large groups in nature. Since its publication, research has been carried to understand the PSO convergence and improving its numerical ...
Esperanza García-Gonzalo, Juan Luis Fernández-Martínez   +1 more
exaly   +2 more sources

Particle swarm optimisation for discrete optimisation problems: a review

Artificial Intelligence Review, 2012
In many optimisation problems, all or some of decision variables are discrete. Solving such problems are more challenging than those problems with pure continuous variables. Among various optimisation techniques, particle swarm optimisation (PSO) has demonstrated more promising performance in tackling discrete optimisation problems.
Ahmad Rezaee Jordehi, Jasronita Jasni
exaly   +2 more sources