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Although many articles have shown that the control performance of interval type-2 fuzzy logic controllers (IT2 FLCs) is better than type-1 FLCs, the computational cost of it is high, which makes it hard to develop in the real world. Our previous research has recommended six TR approaches for their efficiency, but which one has the best performance is still an unknown problem. In the paper, IT2 FLCs...
The purpose of this paper is to design a fuzzy supervisory PID controller using an improved genetic algorithm. The fuzzy controllers are widely used in the recent years due to their results in both tracking and perturbation rejection, however the most difficult step in designing a fuzzy controller is the fuzzyficaion stage where we have to determine the rules and the shape of membership functions...
The paper proposes using a neuro-fuzzy controller in telecommunication networks for improving the routing process. An architecture of the neuro-fuzzy controller was developed. Linguistic variables, terms and membership functions for input and output values were defined. A rules base was developed. The operation of the neuro-fuzzy controller was simulated and trained.
Distribution has a large portion of the total cost of sales of goods or product. It cause high cost transport and risk to the quality of the goods which are distributed, especially perishable product. Perishable product quality is greatly influenced by distribution, thus when the distribution not optimal, it will risk very big deal of broken product. In connection with this matter, the distribution...
This paper describes a method to determine Proportional Integral Derivative (PID) controller parameter using Genetic Algorithm with the Fuzzy Logic controller of temperature control of Stirred Tank Heater. The system design begins with the search for the transfer function on the Stirred Tank Heater. The fuzzy logic system design is used to find the parameters in the Genetic Algorithm is the probability...
In this paper, an improved interval type-2 fuzzy logic controller based on genetic algorithm is presented to deal with the problem of losing uncertain information in the type reduction process of interval type-2 fuzzy logic controller. The four uncertain boundary values of interval type-2 fuzzy output are obtained by using interval type-2 fuzzy reasoning and the Wu-Mendel uncertainty bound type reduction...
In real world optimization problems there are often multiple objectives to consider. However, with traditional multi-objective optimization algorithms, like the Non-Dominated Sorting Genetic Algorithm, NSGA-II, one solution is not produced at the end of the process but a set of non-dominated solutions. This set of solutions make up what is known as the Pareto front. The Pareto front relies on calculating...
This paper proposes an alternative fuzzy logic controller to create the anti-swing controller of the 3D crane system. Simultaneously, it uses more genetic algorithms (GA) to optimize the parameters inside the crane controller. The controller’s purpose controls the crane’s position and maintains the smallest payload swing angle possible at the desired position in order to reduce industrial accidents...
VANETs are network of vehicle which is formed dynamically for short duration. Due to this they are susceptible to various types of attacks. This paper discusses the recent techniques used to counter various types of attacks that threaten the VANET. Researchers have proposed many solutions to solve these problems. This paper discusses all the most relevant solutions and analyzed them according to various...
In this paper, multirotor unmanned aerial vehicle (UAV) stabilization system is developed. The UAV dynamic model of pitch angle is considered. The model is developed on propulsion system identification results and takes into account noizy signal from integrated in the crystal gyroscope and acelerometer (GY-521). The model represents the dynamics of 450 class quadcopter. In the paper, stabilization...
This article proposes a multi-agent approach for managing electric vehicle energy. The vehicle power source consists of a Lithium Metal Polymer (LMP) battery and a Super-capacitor. The adopted management strategy is a hybrid strategy, based on three techniques of artificial intelligence, on the fuzzy logic and the genetic algorithms on one hand, on the other hand, on the multi-agent systems. These...
This paper presents an intelligent droop control scheme for DC/DC Boost converter which is used as voltage regulator in islanded DC Microgrid. This approach is a combination of Fuzzy Inference System (FIS) and Genetic Algorithm (GA) which is used to improve voltage regulation and equal power sharing between the DGs under abrupt load changing while the power losses is low. The propose control performance...
The Internet is dramatically evolving and creating various connectivity methodologies. The Internet of Things (IoT) is one of these methodologies which transform current Internet communication to Machine-to-Machine (M2M) basis. The IoT can seamlessly connect the real world and cyberspace via physical objects that are embeded with various types of intelligent sensors. The opportunistic networks are...
Due to widespread application of Carbon Fiber Reinforced Polymer (CFRP) composites mostly in defense and aerospace industries; machining of these materials has become a major concern today. As machinability of CFRP composites is remarkably different from conventional metals; proper understanding of process behavior followed by identifying the most favorable machining environment (optimal setting of...
The ever expanding the usage of cloud computing environments, connected applications and Internet of Things-based devices have progressively increased the amount of data that travels through our networks. Software-defined network (SDN) is an emergent paradigm that aims to support next-generation networks through its flexible and powerful management mechanisms. One of the biggest threats faced by these...
Feature selection has been recently used in the area of software development effort estimation for improving the accuracy and robustness of prediction techniques. The idea behind selecting the most informative subset of features from a pool of available effort drivers stems from the hypothesis that reducing the dimensionality of datasets may significantly minimize the complexity and time required...
Systems are frequently regression tested for frequently occurring changes due to corrective, preventive, adaptive or perfective actions. Regression testing is used to prevent the undesired effect of these changes on the previously tested version. Due to these changes, new test cases become part of the test suite making it huge and inefficient for ‘retest all’ strategy. The ultimate solution of this...
Utilization of machine learning algorithms in time-series data analysis is crucial to effective decision making in today's dynamic and competitive environment. One data type of growing interest is the electricity consumer load profile (LP) data. Owing to advances in the smart grid, immense amount of LP data became available to policymakers as potential to improving the electricity sector. Due to the...
Interactive evolutionary computation systems can be used to evolve advertisement texts. Google AdWords was used as the interface that users can use to see the advertisement texts, and have a chance of being persuaded by the text into clicking them. Interactive evolutionary computation systems use humans to perform fitness evaluation in the evolutionary process, which can be applied on a genetic algorithm...
The successful usage of fuzzy systems can be seen in many application domains owing to their capabilities to model complex systems by exploiting knowledge of domain experts. Their accuracy and performance are, however, primarily dependent on the design of its membership functions and control rules. The commonly employed technique to design membership functions is to exploit the knowledge of domain...
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