Binary PSO with mutation operator for feature selection using decision tree applied to spam detection
In this paper, we proposed a novel spam detection method that focused on reducing the
false positive error of mislabeling nonspam as spam. First, we used the wrapper-based …
false positive error of mislabeling nonspam as spam. First, we used the wrapper-based …
Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization
This paper presents the design and performance analysis of Proportional Integral Derivate
(PID) controller for an Automatic Voltage Regulator (AVR) system using recently proposed …
(PID) controller for an Automatic Voltage Regulator (AVR) system using recently proposed …
Incremental Q-learning strategy for adaptive PID control of mobile robots
Expert and intelligent systems are being developed to control many technological systems
including mobile robots. However, the PID (Proportional-Integral-Derivative) controller is a …
including mobile robots. However, the PID (Proportional-Integral-Derivative) controller is a …
Nano electrical discharge machining–the outlook, challenges, and opportunities
Emerging trends toward miniaturization and growing demands have led to fabricate the
nanofeatures size product for electronics, robotics, aeronautics, biomedical, automobile, and …
nanofeatures size product for electronics, robotics, aeronautics, biomedical, automobile, and …
Magnetic resonance brain classification by a novel binary particle swarm optimization with mutation and time-varying acceleration coefficients
S Wang, P Phillips, J Yang, P Sun… - Biomedical Engineering …, 2016 - degruyter.com
Aim: To develop an automatic magnetic resonance (MR) brain classification that can assist
physicians to make a diagnosis and reduce wrong decisions. Method: This article …
physicians to make a diagnosis and reduce wrong decisions. Method: This article …
Binary-coded extremal optimization for the design of PID controllers
Abstract Design of an effective and efficient PID controller to obtain high-quality
performances such as high stability and satisfied transient response is of great theoretical …
performances such as high stability and satisfied transient response is of great theoretical …
A human learning optimization algorithm and its application to multi-dimensional knapsack problems
Inspired by human learning mechanisms, a novel meta-heuristic algorithm named human
learning optimization (HLO) is presented in this paper in which the individual learning …
learning optimization (HLO) is presented in this paper in which the individual learning …
An optimal adaptive robust PID controller subject to fuzzy rules and sliding modes for MIMO uncertain chaotic systems
MJ Mahmoodabadi, RA Maafi, M Taherkhorsandi - Applied Soft Computing, 2017 - Elsevier
In this paper, an optimal adaptive robust PID controller based on fuzzy rules and sliding
modes is introduced to present a general scheme to control MIMO uncertain chaotic …
modes is introduced to present a general scheme to control MIMO uncertain chaotic …
PID controller based on a self-adaptive neural network to ensure QoS bandwidth requirements in passive optical networks
In this paper, a proportional-integral-derivative (PID) controller integrated with a neural
network (NN) is proposed to ensure quality of service (QoS) bandwidth requirements in …
network (NN) is proposed to ensure quality of service (QoS) bandwidth requirements in …
Freight transport network design using particle swarm optimisation in supply chain–transport supernetwork equilibrium
T Yamada, Z Febri - Transportation Research Part E: Logistics and …, 2015 - Elsevier
This paper presents a discrete network design problem for optimally designing freight
transport network in terms of the efficiency of supply chain. Modelling is undertaken within …
transport network in terms of the efficiency of supply chain. Modelling is undertaken within …