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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...
Due to the rapid growth of energy consumption and environmental issue, the use of photovoltaic (PV) power, has attracted many attentions since such energy is renewable and clean. This study proposes a simple yet effective method for PV power prediction in which a dividing-stage strategy is investigated and a hybrid heuristic, denoted as GAPSO (genetic algorithm and particle swarm optimization) is...
We present a simplified Mixed Logical Dynamic (MLD) model for DC-DC Boost converter using less number of binary variables and continuous variables. A constrained optimal problem is formulated and solved based on Model Predictive Control (MPC) using the simplified MLD model. The optimized switching signal derived by the MPC regulates the output voltage. The MLD modeling of the converter is accurate...
An adaptive genetic algorithm using mutation matrix is introduced for the solution of a series of zero/one knapsack problems of increasing complexity and structure. The evolution of the population in our adaptive genetic algorithm is based on a time dependent mutation matrix that is co-evolving, guided by the locus statistics and the fitness distribution of the population. This co-evolution of the...
The energy-saving dispatch could significantly enhance the energy consumption and carbon dioxide emission reduction, as well as the sustainable development of the socio economy in China. With the rapid growth of smart grid, the use of demand response to dispatch loads with flexible consumption time and/or quantity has been a new trend in power industry. This paper proposes a new energy-saving dispatch...
Urban traffic network can be considered as an undirected graph. So the route choice problem in the traffic network can be converted to shortest path problem. The idea of using genetic algorithm to solve shortest path problem is proposed in this paper. The model of using genetic algorithm to solve shortest path problem which is programmed in Matlab is also proposed. Finally, an example is calculated...
The PID controller is one of the most popular controllers, due to its remarkable effectiveness, simplicity of implementation and broad applicability. However, the conventional approach for parameter optimization in PID controller is easy to produce surge and big overshoot, and therefore heuristics optimization methods such as genetic algorithm (GA), particle swarm optimization (PSO) are employed to...
A closed-loop adaptive optical system based on a genetic algorithm is developed. This system consists of a deformable mirror, a computer, beam splitter, wavefront sensor, and high voltage driver. The genetic algorithm adjusts the control voltages of 37 independent electrodes to vary the shape of the deformable mirror surface such that the aberration of laser beam can be compensated by deformable mirror...
In this paper, a k-covered wireless sensor network optimization problem is considered to improve the quality of surveillance. In order to maximize the coverage area of wireless sensor network with k-covered hotspots and connected sensor nodes, a novel stochastic optimization technique named particle filter optimization (PFO) is proposed to obtain an optimal sensor placement. Simulation results indicate...
A damage identification method based on improved genetic algorithm (IGA) is presented that accurately identifies both the location and severity of damage in a simulated 3-span continuous beam bridge. Damage identification based on finite element model updating is often used and damage is identified by minimizing the error between measured and analytical results. But whether model updating can be carried...
Thermally induced optically-distortion effects are one of the main impediments to be overcome in developing high power solid-state lasers. To compensate the dynamic aberration of laser beam, an intra-cavity adaptive optical system was developed. A beaconing light was introduced to measure the wavefront aberration of intracavity laser beam and an MEMS deformable mirror was used to improve the wavefront...
A novel sensor layout method is proposed for bridge health monitoring. The aim of the method is to select sensor locations from a set of possible candidate positions for achieving the best identification of modal frequencies and mode shapes. Sensor layout problem is a combinatorial optimization problem and genetic algorithm is suitable to solve the problem. Commonly, one dimension coding is often...
Effective image searching in WWW has become important to various users, and the image meta-search engine is an effective technique to improve the quality of retrieval results of Web images on the Internet. The emphasis of the thesis is to propose a model of image meta-search engines, and a vectorization method was adopted to apply HACM (hierarchical agglomerative clustering methods) clustering techniques...
Location knowledge of sensor nodes in a network is essential for many tasks such as routing, cooperative sensing, or service delivery in ad hoc, mobile, or sensor networks, and it is hard to get the precision solution by traditional node localization algorithm, while genetic algorithm is an effective methodology for solving combinatorial optimization problems, so, in this paper, a real-coded version...
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