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The main objective of introducing artificial intelligent control approaches is achieving efficient industrial process control. However, the three term (PID) control algorithms are still employed in controlling a wide range of processes. This mainly is owing to their simplicity and robustness. The Performance indices tuning methods (MSE, ITAE, ISE and IAE) of PID based Genetic Algorithms (GAs) are...
Proper operation of any power system depends on robust and continuous performance of the substations. The design of the substation grounding system plays vital role. Since the grounding system should preserve safe and effective protective schemes. This work is to investigate the different grounding systems design of a 500/220 kV substation in Egypt. The design of grounding system to get the optimum...
To improve research efficiency of engineering problems, Surrogate model has gained its popularity in replacing real engineering model. This paper proposes a kind of Global Sequential Sampling Algorithm (GSSA) based on surrogate model. With the process of iteration, GSSA can sample both in unexplored region and large-error region, then iteratively update the samples. OLHS is used as initial sampling...
Intelligent algorithms have been applied to solving conditional nonlinear optimal perturbation (CNOP), which plays an important role in the study of weather and climate predictability. Single particle intelligent optimization algorithms can get similar CNOP to adjoint method, and show higher time efficiency in solving CNOP. However, swarm intelligent optimization algorithms can only get similar CNOP,...
This paper focuses on makespan minimization for the flow line scheduling problem using a Fuzzy Cell Genetic Algorithm (FCGA). Real world applications of this problem are commonly found in printing and electronic circuit board manufacturing industries. A generalized integer programming (IP) model for this problem is proposed. The Fuzzy Cell Genetic Algorithm (FCGA) is proposed to solve the IP model,...
Online social networks have become an effective channel for influencing millions of users by facilitating exchange and spread of information. Despite recent works on modeling information diffusion in social networks, the complexity of social interactions makes quantification of any spreading phenomenon in social networks a challenging task. Most of the research in this area rely on empirical or statistical...
This study will discuss the capacitated vehicle routing problem with simultaneous pick-up and delivery in a cross-docking environment. The transportation system includes three levels in the supply chain management:(1)Suppliers, (2)Retailers, (3)Customers. This paper addresses the CVRPCD, where a set of homogeneous vehicles are used to transport products from the suppliers to the corresponding customers...
Generalized Memory Polynomial (GMP) models are widely used for the linearization of power amplifiers. They offer a good tradeoff between linearization performance and implementation complexity. Their structure is defined by 8 integer parameters representing different non-linearity orders and memory lengths. These 8 degrees of freedom allow achieving very good linearization performance with a small...
Construction engineering is considered as a complex network system project. By analyzing the relationship of construction costs and reliability in engineering project, a mathematical model is established to optimize the costs and genetic algorithm (GA) is used for this purpose. In the application of GA, penalty function is used to handle the constraint. Ranking based on the evaluation function and...
Heating, Ventilation, and Air Conditioning (HVAC) systems account for a large share of the energy consumed in commercial buildings. Simple strategies such as adjusting HVAC set point temperatures can lead to significant energy savings at no additional financial costs. Despite their promising results, it is currently unclear if such operation strategies can have unintended consequences on other building...
Physical Unclonable Function (PUF) is a new hardware security primitive that exploits the manufacturing variations of integrated circuits. Traditional arbiter PUF is vulnerable to machine learning based modeling attacks due to its linearity. Current mirror PUF uses non-linear current mirror to bring non-linearity into the challenge-response relationship and is claimed resistant to modeling attacks...
This paper mainly focuses on the method of timetable multi-objective optimization considering the randomness of passengers flow. The passenger flow model is established based on the normal distribution of the passenger flow, which is verified through the testing hypotheses for the number of passengers getting on and off the train. In assessment of energy consumption, the train operation between the...
With the optimization of solar distributed generation (DG), different methods and models are implemented for system improvement. However, the stochastic nature and intermittency of solar power is often neglected. This paper presents an approach in finding the optimal site and size of a solar DG unit in the context of minimizing power loss and improving voltage profile. Uncertainties of the solar irradiance...
In this paper, we built a Lagrange dynamical model for an interactive master manipulator based on Delta parallel mechanism. Genetic Algorithm was used to identify the static parameters in the LuGre friction model with regard to high non-linearity friction torque of the driving parts. The Stribeck curve relating rotational velocity with static friction torque for each driving part was obtained. To...
The major problem in permanent Magnet Synchronous Motor (PMSM) drive systems is its nonlinear behavior which arises mainly from motor dynamics and load characteristics. The presence of uncertainties further makes their control an extremely difficult task. So, the speed control strategy should be adaptive and robust for successful industrial applications. The conventional proportional integral derivative...
This paper proposes a new approach to calculate optimal firing angles of a Seven-Level Cascaded H-bridge Multilevel Inverter(CHB-MLI) using Gravitational Search Algorithm(GSA). The presence of more levels in the output voltage waveform of MLI introduces large harmonic content which should be reduced. Selective Harmonic Elimination(SHE) method is the popular technique used for eliminating the desired...
The current-voltage characteristics of photovoltaic module are non-linear, multivariable and multi-modal and difficult to optimize the electrical intrinsic parameters. The conventional methods are incapable to optimize the parameters of photovoltaic module with high accuracy. Recently, the bio-inspired algorithm such as firefly algorithm has attracted the intention to optimize the non-linear and complex...
In this paper, we describe and test a part of an active learning environment that is being used to engage and empower students' learning in a undergraduate engineering course. We developed a survey system, called Milsa, in order to insert questions and template answers, and to automatically correct the questions based on template answers. In Milsa, the students insert multiple questions and template...
Healthy lifestyle is an important requirement for people, which is obtained from balanced nutrition. Imbalanced nutrition increases risk of health problems. Balanced nutrition means the difference between nutrition needed and nutrition intake must be as minimum as possible. The condition in Indonesian, many people consume food with high carbohydrate; whereas nutrition consists of protein, carbohydrate,...
Gray-Box Models which combine a phenomenological model with a black box tool are useful for determining the values of not well known parameters of the model. In this work an indirect strategy for training these gray box models using least-square support vector machine and genetic algorithms is presented. The gray box model was tested in a Continuous Stirred Tank Reactor process with good results (Index...
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