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In view of the shortcomings of the previous genetic algorithm in solving the problem of path planning of robot, this paper has improved it on the basis of the traditional genetic algorithm. The environment model is built by the grids and the fixed length serial number coding is used to encode. The random search method and the ascending order method are combined to generate the initial population....
This project aims to improve the throughput, energy consumption and overhead of vehicular ad hoc network (VANET) by optimising the network coding (NC) using Genetic Algorithm (GA). VANET shows a promising technology as it could enhance the traffic efficiency and promote traffic safety on the road systems. The conventional store-and-forward transmission protocol used in the intermediate node(s) simply...
A new method, based on support vector machines (SVMs) and genetic algorithm (GA), is proposed for automatic Intra-Pulse modulation recognition (AIMR). In particular, the best feature subset from the combined pulse descriptor word (PDW) feature set and time-frequency feature set is optimized using genetic algorithm. Compared to the conventional decision-theoretic method, the method proposed avoids...
Wavelet neural network has a slow convergence rate, weak global search capability and easy to search the search results to a minimum, while the genetic algorithm has a high degree of parallelism, randomness, adaptive search and global optimization. The wavelet neural network is transformed and transformed to obtain the discretized wavelet neural network. In this paper, the three-layer wavelet neural...
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,...
Controllers based on Synchronous Finite State Machines (SFSM) are widely used in the design of digital hardware and that can be implemented in Field Programmable Gate Arrays (FPGAs). A class little known and very interesting of SFSM in the FPGA platform is the SFSMs of direct output (SFSM_DO). These state machines use the output signals as state signals, thus allowing several advantages when compared...
Power distribution networks operate in a radial topology, but also include extra tie switches to allow for their reconfiguration in case of scheduled maintenance or unexpected failure. With the implementation of the smart grid and the development of fast high power switching devices, it is now possible to automatize this reconfiguration to also adjust to demand fluctuation and always operate the network...
Mission planning is an effective support and important guarantee for agile satellites to implement earth observation missions. According to traditional mission planning methods by which the mission and attitude are independently planned, the observation efficiency of agile satellites cannot be fully utilized. This paper considers the cooperative planning of mission and attitude, and establishes a...
The location problem of logistics center is the key process of logistics distribution, in order to improve the accuracy of the location of logistics center, this paper according to the parallelism and characteristics of global optimization of genetic algorithm. A method based on genetic algorithm is proposed to solve the problem of logistics center location, and set up with the minimum total cost...
In the urban water supply system, the location and quantity of the pressure monitoring nodes play a significant role for the monitoring effect and the response warning of the pipe burst. However, most installation of pressure monitoring nodes are based on human experience, which cannot totally present the whole water supply system condition. In view of the unreasonable layout of pressure monitoring...
Most published results show that power reduction of the finite-state machines (FSMs) is achieved by decomposition. In order to achieve a low power FSM implementation, a Genetic Fuzzy c-mean clustering-based decomposition method, called GFCM-D, is proposed for FSM partition in this study. GFCM-D used Fuzzy c-mean clustering (FCM) to partition a set of states of FSM into a collection of c fuzzy clusters,...
This paper proposes a new method for the pattern synthesis of sparse concentric circular array. This method can avoid the premature and improve the poor capability of local optimization of the traditional genetic algorithm. Alternatively implementing the two kinds of genetic breeding operations can effectively alleviate the dependence of the algorithm's convergence on the choice of the initial group...
Aiming at the characteristics that dynamic systems can be described by integral and differential equations involving non-integer orders, this tool is also introduced into fractional-order controllers, that is, controllers with fractional integral and differential. A modified genetic algorithm The integer order PID controller and the fractional order controller are used to simulate and compare the...
Future fifth generation (5G) wireless networks will be challenged by the huge amount of mobile data traffic, especially from enormous Machine Type Communication(MTC) devices, so in this paper we proposed Aggregation Coding Multiple Access(ACMA) for MTC downlink transmissions, which exploits the inherent correlation among aggregated users in spatial domain to improve the spectrum efficiency. By assuming...
In the fast moving world of smart urban conglomerates, emergency services need to move even faster through the crowded infrastructure. Providing the emergency crew with a route that avoids congestions can save valuable travel time. It is challenging to compute such a route fast enough for practical usage while taking into consideration traffic fluctuations, uncertainties, and unpredictable user behaviour...
This paper presents an application of Genetic Algorithm (GA) to solve Economic Load Dispatch problem which aims to determine minimum fuel cost and Environmental Load Dispatch problem which aims to determine minimum gas emission for required energy production of the chosen power system. Test system is chosen as IEEE-30 bus system which includes 6 generators with necessary values given for ease of simulation...
Aiming at the problem of slow convergence rate of the traditional genetic algorithm and the oneness property of the fitness function. In this paper, we combine the structural property of county power network with genetic algorithm, and propose a new automatic optimization scheme for the county power network operation mode for the purpose of load balancing. By analyzing the structure of a substation,...
In this paper, in view of the research achievements of domestic and oversea researchers, the energy-saving manipulation strategies are designed for the train operation between stations by using the genetic algorithm, which synthesize the knowledge of train traction calculation and the characteristic of locomotive traction and braking. The energy-saving control strategy is based on the train maximum...
Unlike commercial airlines that fly predetermined trajectories, military unmanned aerial vehicles (UAVs) operate in dynamic environments and must often adjust their itinerary based on the developing conditions during the mission. The path planner module is a key element of any autonomous UAV. It computes the optimal path from a start point to an end point. In this paper, we present a parallel genetic...
Community detection has a very important role in data processing and analysis, which is very hot in recent years. However, traditional algorithms have shortcomings in both time complexity and precision. In this paper, we introduce a Modified Genetic Algorithm (MGA) that with alleles encoding and half uniform crossover to detect community structure. In the algorithm, each allele of the chromosome stands...
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