Results 31 to 40 of about 9,118 (243)
Hybridization of multi-objective deterministic particle swarm with derivative-free local searches [PDF]
The paper presents a multi-objective derivative-free and deterministic global/local hybrid algorithm for the efficient and effective solution of simulation-based design optimization (SBDO) problems.
Diez, M. +5 more
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Feature selection is an effective method to eliminate irrelevant, redundant and noisy features, which improves the performance of classification and reduces the computational burden in machine learning.
Jiahui Li +6 more
doaj +1 more source
Verifiable control of a swarm of unmanned aerial vehicles [PDF]
This article considers the distributed control of a swarm of unmanned aerial vehicles (UAVs) investigating autonomous pattern formation and reconfigurability.
Bennet, D. J., McInnes, C.R.
core +1 more source
To solve the access selection problem of heterogeneous wireless network, an access selection algorithm based on dragonfly algorithm (DA) optimized fuzzy neural network (FNN) was proposed, considering the user’s business type and network state.In view of ...
Zhihong QIAN +3 more
doaj +2 more sources
Nowadays cloud computing is being highly considered by many of researchers, organizations, governments and so on. According to processing happening inside of cloud computing, some of the most important problems and challenges in cloud computing are load ...
Zahra Amini +2 more
doaj +1 more source
Construction of Prioritized T-Way Test Suite Using Bi-Objective Dragonfly Algorithm
Software testing is important for ensuring the reliability of software systems. In software testing, effective test case generation is essential as an alternative to exhaustive testing.
Mashuk Ahmed +2 more
doaj +1 more source
Optimal DG placement for benefit maximization in distribution networks by using Dragonfly algorithm
Distributed generation (DG) is small generating plants which are connected to consumers in distribution systems to improve the voltage profile, voltage regulation, stability, reduction in power losses and economic benefits.
M. C. V. Suresh, Edward J. Belwin
doaj +1 more source
Novel D-SLP Controller Design for Nonlinear Feedback Control
Novel nonlinear feedback control based on the dragonfly swarm learning process (D-SLP) algorithm is proposed in this paper. This approach improves the performance, stability and robustness of designing the nonlinear system controller. The D-SLP algorithm
Jirapun Pongfai +3 more
doaj +1 more source
New Gen Controlling Variable Using Dragonfly Algorithm in PV Panel
In the present scenario the depletion of conventional sources causes an energy crisis. The energy crisis causes load demand with respect to electricity. The use of renewable energy sources plays a vital role in reducing the energy crisis and in reduction
Shabana Urooj +4 more
doaj +1 more source
Measuring and Understanding Throughput of Network Topologies [PDF]
High throughput is of particular interest in data center and HPC networks. Although myriad network topologies have been proposed, a broad head-to-head comparison across topologies and across traffic patterns is absent, and the right way to compare worst ...
Godfrey, P. Brighten +3 more
core +1 more source

