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This paper introduces a new design and optimization method of ultra wide band (UWB) printed antenna using a genetic algorithm (GA). The proposed antenna consists of a radiating patch element with an area divided into 2 mm square cells where each cell is allocated by either conducting or nonconducting property. The presented antenna is designed to operate from 2.4 GHz to 9.8 GHz. Numerical results...
The main purpose of this paper is to analyze the electrostatic and electromagnetic interferences of HV power lines on aerial metallic pipeline. The proposed modelling is based on charge simulation method (CSM) and Efficient Simulation Method (ESM) coupled with Genetic algorithm (GA). This is typically done for safety reasons, to ensure workers who come into contact with the pipeline and to protect...
This paper investigates feature selection method using filter Fast Correlation based Filter FCBF combined with Genetic Algorithm GA and particle swarm optimization PSO. In this paper two hybrid approaches based on filter method FCBF and Genetic algorithm (FCBF-GA) and filter FCBF with particle swarm (FCBF-PSO) are proposed. It has been found that the proposed method FCBF-PSO outperform the proposed...
The future 5G networks need to support different kinds of business and applications, so the cloud radio access networks (C-RAN) which can provide a centralized collaborative resource management gain through small base stations, and seamless handoff also can be achieved through the overlapping deployment of macro base stations and micro base stations has become one of the important directions in 5G...
In this paper, we propose two uplink pilot power control schemes to mitigate pilot contamination in a multi-cell massive multiple-input multiple-output (MIMO) system. These uplink pilot power control schemes can maximize the minimum signal-to-interference-plus-noise ratio (SINR) of the worst user or the mean SINR of the whole network for the downlink data transmission. Combinatorial optimization problems...
The influence of temperature, irradiance and shielding ratio on the output characteristic curve of photovoltaic cells was studied in this paper. In order to improve the photoelectric conversion efficiency of photovoltaic cells, combining three major factors that affect photovoltaic cells, a maximum power point tracking (MPPT) scheme based on large variation genetic algorithm was proposed. In this...
In this paper, a mobile robot path planning algorithm based on the rearrangement of gene is proposed for genetic algorithm and applied to solve the problem of mobile robot path planning. Firstly, it needs to build the robot path with the multi-plane model, and the genetic algorithm is used to search the optimal or sub optimal path. Then, with a new algorithm for the route of quadratic optimization,...
In this paper, we employ a multilayer decentralized control and an advanced PID control to solve the coordinated ramp control problem. Furthermore, we use a hybrid optimization approach to adjust the PID parameters. This hybrid approach in use is the combination of a genetic algorithm (GA) and an ant colony algorithm (ACA). First, a macroscopic and dynamic freeway traffic flow model called a finite-difference...
High density deployment of wireless sensor networks in a same monitoring area may result in strong channel interference from different networks. In order to address the interference of co-channel or adjacent channels, we investigate the problem of channel allocation to improve the system performance for multiple wireless sensor networks. In this study, we first derive a channel interference model...
At present, most of the EEG emotion recognition studies have taken all electric shocks or filtered electrodes as a feature and they are integrated (combined) with simple features that are extracted from other signals as a single classifier Emotional classification, but there are problems such as low efficiency and low accuracy. Aiming at this problem, this paper proposes an EEG emotion classification...
Based on the existing algorithm of fault-sectin location in distributed network containing distributed generation(DG), the effect of localization is not ideal, especially premature convergence problem in the original genetic algorithm, a new fault location method of chaotic optimization based on multiple-population genetic algorithm is proposed. Firstly, the introduction of a number of population...
Job shop scheduling problem is a hot spot in today's intelligent manufacturing. Therefore, how to get JSSP optimal solution is a key problem in this field. The development of genetic algorithm has been relatively mature, and gets a better result in JSSP. However, the relevant research on how to further optimize on this basis is still relatively less. In order to improve the solution quality of genetic...
An optimization method is proposed for the geometric parameters of an convergent nozzle ejector in the anode gas recirculation system in PEM fuel cell in this paper. The mathematical model of ejector is established by employing the hydrodynamics, thermodynamic principles and chemical constraints. An optimization method is applied based on hybrid fish swarm algorithm to optimize the geometry parameters...
This work aims to minimize average delay for signalized traffic network along Jalan UMS under oversaturated condition using decentralized genetic algorithm (DGA). Relieving traffic network is a key challenge for a nation for improving its socio-economic systems and welfare to society. Control the traffic signal timing becomes a cost effective solution to reduce congestion since the space constraint...
This article discusses the design and construction of a collaborative robotic torso with two arms that analyzes a bolted connection in a work cell as a didactic process. The handler is made up of two anthropomorphic arms, each one with seven degrees of freedom (DOF). Inverse kinematics for each redundant handler was developed by solving off-line genetic algorithms. The automatic process of a bolted...
Partial shading on a photovoltaic (PV) string will lead to PV characteristic, exhibiting multiple peaks. Conventional methods such as P&O method may not track the Global Maximum Point (GMP). Researchers have utilized meta heuristic approaches to track the GMP. Recently Simulated Annealing (SA) method has also been adapted for Maximum Power Point Tracking (MPPT) because of its simplicity and effectiveness...
Principal component analysis (PCA) is widely used for fault detection for chemical processes; however, the efficient principal component (PC) selection remains an challenge. The effect of PC selection on PCA-based fault detection performance is analyzed within the statistical framework of hypothesis testing. A performance-driven fault-relevant PC (FRPC) subspace construction integrated with Bayesian...
At present, the detection of mixing uniformity in glass furnace batching system is mainly realized by artificial detection. However, this method is time-consuming and laborious, and there are some risks. For the problem of mixing uniformity detection, the nonlinear relation between the actual weight value and the mixing uniformity is established by the BP neural network, which can predict the mixing...
The sensor-source geometry is one of the key factors affecting the performance of a distributed acoustic source localization system. In this paper, an approximate optimal routing method is proposed by minimizing the determinant of the Cramer Rao Lower Bound (CRLB) for the source location estimate. At first the sensors are equally distributed in the test field, the problem is relaxed to a combinatorial...
This paper proposes an improved Genetic Algorithm (IGA) — combined with ontology module to solve dynamic job shop scheduling problem (DJSSP). The objective function of this scheduling problem is to minimize a weighted sum method of maximum complete time (makespan) and mean waiting time to periodically plan production. This scheduling method is applied to a flexible manufacturing system. A reschedule...
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