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Optimization of halo profile for advanced MOSFET device is known to be very critical and challenging. Halo profiles around channel can cause carrier mobility degradation, leakage and higher Vt mismatch. Indium and high scattering P-type dopant (HS-P) mixed halo formation have been used widely for n-FET devices. Gallium has a better activation than Indium and is heavier specie than HS-P. Gallium could...
Booster disinfection is the reapplication of disinfectant at strategic locations within a water distribution network to keep disinfectant residuals within specified limits. Compared to conventional methods that apply disinfectant only at the source, booster disinfection could improve residual coverage, and reduce the total disinfectant dose due to the more even distribution of disinfectant in space...
In view of shortcomings such as premature convergence and oscillation in Simple Genetic Algorithms (SGA), the article adopts method of adaptive adjusting for the probabilities of crossover and mutation. So the Improved Genetic Algorithms (IGA) is formed by adding the transgenic operator to SGA. And the optimum design program of steel box-concrete composite arch bridges based on improved genetic algorithms...
With the rapid development of logistics transportation, the number of high-level orderpickers in the warehouse is increasing day by day. In order to improve order picking efficiency, a mathematical model of this optimization problem is constructed according to characteristics of order picking of the high level orderpicker in a rectangular warehouse. To solve the model, G-A (Genetic-Ant colony) algorithm...
The minimization of power losses in the medium voltage (MV) grid requires adjustment of network of power sources. This problem is particularly important for renewable energy sources, for example for the farms of wind generators. Their placement and nominal power should be selected according to the configuration of the network and the largest loads. The implementation of the genetic algorithm (GA)...
This paper discusses a model predictive control approach to hybrid systems with continuous and discrete inputs. The algorithm, which takes into account a model of a hybrid system, described as Hybrid Automaton. However, to avoid computational complexity and computation time, the nonlinear optimization problem is solved by evolutionary algorithms (EA) such as Genetic Algorithms (GA) and Particle Swarm...
The optimization problem that the optimum is time-changing by following a motion law in the search space is a dynamic optimization problem. This paper introduces the optimum's motion information to the proposed algorithms. Particle Filter is used to predict and track the changing optima. In real solution space, GA's chromosome is the same as Particle Filter's particle, both of which can be regarded...
Economic Load Dispatch is one of the major functions of modern Energy Management System (EMS), which determines the optimal real power settings of generating units with an objective of minimizing the total fuel cost. All industrial practice, the fuel cost of generators can be treated as a quadratic function of real power generation. In fact, valve point loading effect in thermal power plants calls...
Offline tuning of a genetic algorithm (GA) based time domain optimal PID controller has been carried out with stochastic consideration of delays and packet dropouts in a real time Networked Control Systems (NCS) by minimizing the Integral of Time multiplied Absolute Error (ITAE) and Integral of Squared Control Signal (ISCS). Hardware validation of the optimal PID controller performance is done on...
Node placement problems have been long investigated in the optimization field due to numerous applications in facility location, logistics, services, etc. Such problems are attracting again the attention of researchers now from the networking domain, and more especially from Wireless Mesh Networks (WMNs) field. Indeed, the placement of mesh routers nodes appears to be crucial for the performance and...
The global shortest path programming (GSPP) has extensive applications in engineering practices. The Steiner tree problem is a nonlinear programming conundrum with fixed points and fictive points and is typical theoretical basis of GSPP. The Steiner minimum tree (SMT) problem can be changed to a combination-optimization problem, a test selection algorithm for the construction of the initial population...
This paper describes the design and testing of the optimal type-2 fuzzy controller obtained using genetic algorithms (GA) for the optimization of triangular and trapezoidal membership functions of a fuzzy system, for hardware representations such as the Field Programmable Gate Array (FPGA). The GA uses only certain points of the membership functions, the fuzzy rules are not changed, with the purpose...
Active Disturbance Rejection Control (ADRC) method is used as auto speed regulator (ASR) to improve the dynamic performance of cascade control for winding motors in double closed loop control system. In order to optimize the numerous parameters of ADRC, an optimizing objective function is proposed, which is based on the error integral criteria and considered the static and dynamic characteristics...
The objective of this research is to propose a new and practical LQG control method for the vehicle active suspension. The novelty lies in optimizing the LQG controller without road input signal for the active suspension to improve practicability of LQG control method. Taking a quarter-vehicle model as an example, the control parameters of LQG controller without road input signal for the active suspension...
In concern with the slow-convergence disadvantage of GA, PSO is combined with GA in this paper for a load distribution optimization among turbine-generators. By comparison with GA method, it is shown that PSO-GA is better than the GA method in the aspect of calculation speed, bearing excellent stability and fast convergence.
From the perspective of optimal LCC(Life cycle cost), this paper studied the method to develop a reasonable maintenance strategy of power equipment. The deterioration theory in the field of mechanical engineering was led in, based on that we analyzed the failure rates of each repair period and established the model of the optimal problem, then, through a case study, we got the optimal maintenance...
Cost minimization is one of the main goals in electric market so economic dispatch and load allocating, named as optimal power flow (OPF), are more interesting concerns. In this paper a Modified Genetic Algorithm (MGA) is presented for the solution of the OPF. The control variables are unit active power outputs, generator-bus voltages and discrete transformer-tap settings. To overcome the operating...
In this paper, a dual-resource constrained job shop scheduling problem was studied. According to the information processing mechanism of an immune system in biotic science, a new immune Genetic Algorithm for flexible job shop scheduling through combining immune algorithm with genetic algorithm was proposed. The algorithm can effectively avoid the premature convergence problem caused by the high selective...
With the electricity market deregulation, the number of unplanned power exchanges increases. If these exchanges are not controlled, some lines may become overloaded. Network contingencies often contribute to overloading of branches, violation of voltages and also leading to problem security. This paper presents a procedure based on the contingency severity index (CSI) described by a real power flow...
In this paper, genetic algorithm (GA) using parallel tabular technique is presented for the optimization of mixed polarity Reed Muller and mixed polarity dual Reed Muller functions. The algorithm is to find optimal solution among 3n different solutions for large functions. To overcome the disadvantage of the traditional tabular technique, the cost function of GA is based on parallel tabular technique,...
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