genetic algorithms and fuzzy logic
Power System Transient Stability Analysis Based On Interval Type-2 Fuzzy Logic Controller And Genetic Algorithms
... the genetic evolution of interval type-2 MFs can provide valid and high-performance interval type-2 FLCs without relying on any a priori knowledge such as logged data or a previously existing model, making it ...
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Performance Evaluation of PSO, PSOCA and MPSOCA for Solving University Timetabling Problem
... used Genetic Algorithm, [CK10] used hybrid of genetic algorithms and fuzzy logic, [SS11] used Hybrid of Genetic algorithms with Guided and Local Search Strategies, [O+12] ...
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Intelligent System for Efficiency Enhancing Program of Thermal Power Plant: A Case Study
... Soft computing is oriented towards the analysis and design of intelligent systems. It is based on fuzzy logic, artificial neural networks and probabilistic reasoning including genetic ...
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A. Stock Terminology
... This paper proposed a multi agent and fuzzy logic model for stock market decision making based on technical analysis. The model was tuned and modified using genetic algorithms. The DSS was ...
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A Review on: Artificial intelligence techniques in electrical and computer engineering
... incorporate fuzzy logic (FL), artificial neural networks (ANNs), genetic algorithms (GAs), adaptive fuzzy logic (AFL) and expert systems ...- fuzzy logic (FL), ...
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International Journal of Computer Science and Mobile Computing
... like Fuzzy Logic, Artificial neural network, genetic algorithms, swarm optimization, etc are used for this purpose to distinguish, compare or process various type of ...
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Comparative Analysis Of Fuzzy Association Rule Mining Algorithms
... of fuzzy AR remain imprecise reasoning and inaccuracy ...mines fuzzy association rules based on systems concerning the structure choices, enabling which decision to choose for what segments and which ones ...
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K.P.MALARKODI et al , International Journal of Computer Science and Mobile Applications,
... In latest centuries, exclusive image handling the tenure swarm intelligence methodology has advanced into unique artificial intelligence arena. It is reinvigorated by swarm insect with the resolve to show cooperative ...
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FUZZY LOGIC BASED VOLTAGE AND FREQUENCY OF A SELF EXCITED INDUCTION GENERATOR FOR MICRO HYDRO TURBINES FOR RURAL APPLICATIONS
... incremental genetic algorithm (IGA) for real-world datasets subject to concept ...application genetic algorithm incrementally without monitoring concept ...incremental genetic algorithm is proposed ...
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Dynamic Fuzzy Logic Control of Genetic Algorithm Probabilities
... Hybrid Fuzzy-Genetic Algorithm, by incorporating Fuzzy Logic Controller to the Standard Genetic Algorithms, based on an existing hybrid Genetic Algorithm working on the ...
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Artificial Intelligence Applied to Project Success: A Literature Review
... intelligence algorithms: genetic algorithms (GAs) for optimization, fuzzy logic (FL) for reasoning and neural networks (NN) for mapping inputs and ...
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Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems
... The remainder of this paper is organized as follows. Section 2 is a brief description of model predictive control based on fuzzy logic. In the same section we also describe briefly the objective function ...
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Volume 3, Issue 3, March 2014 Page 376
... Web has become the primary means for information distribution. It is being used for commercial, entertainment or educational purposes and thus its popularity resulted in heavy traffic in the Internet. Web Intelligence ...
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Self adjusting a Genetic Algorithm Using Fuzzy Logic Techniques
... The use of FIS for tuning the parameter of a metaheuristic has been reported before. A survey presented by Valdez et al. [1] presents a landscape of metaheuristics such as Particle Swarm Optimisation (PSO), ...
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Load Frequency Control In Conventional And Distributed generation Power System: A Literature Survey
... networks, fuzzy logic and genetic algorithms to tackle the difficulties associated with the design of LFC controllers for power systems with nonlinear models and/or insufficient knowledge ...
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PERFORMANCE ANALYSIS USING ARTIFICIAL INTELLIGENCE IN WIRELESS NETWORK SYSTEM AND ITS BENEFITS
... networks, fuzzy logic, and case- based ...(a) fuzzy logic, (b) genetic algorithms, (c) neural networks, (d) game theory, (e) reinforcement learning, (f) support vector machine, ...
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VHDL AMS based genetic optimisation of fuzzy logic controllers
... control algorithms have been established (Alleyne and Hedrick, 1995; Yagiz et ...unpredictable. Fuzzy logic controllers, due to their ability of handling uncertain and complex systems, have emerged ...
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Optimal Fuzzy Logic Controller Design for Robot Arm Control
... using fuzzy control technique by neural-fuzzy system [2] or genetic-fuzzy model ...results. Genetic-fuzzy inverse online control, PSO based, and imperialist competitive ...
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NODE RECOVERY IN WIRELESS SENSOR NETWORK USING GENETIC ALGORITHM AND FUZZY LOGIC
... The packet loss based on the increase of the packet size is defined in the Fig .4 where it defines the loss of packet in the network based on the increase in packet size. The proposed algorithm has low packet loss when ...
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Multimodal biometric system based on fuzzy logic and genetic algorithm
... Biometric is used to acknowledge a person and it is derived from a Greek word Biometric. The word bio and metric together derive a meaning as life measurements, which are taken from the individual person then examined ...
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