Evolutionary Computing
Evolutionary Computing for Operating Point Analysis of Nonlinear Circuits
... paper, evolutionary computing methods, including Genetic Algorithms, Evolutionary Programming, Evolutionary Strategies and Differential Evolution are explored as possible alternatives to ...
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Improved Portfolio Optimization Combining Multiobjective Evolutionary Computing Algorithm and Prediction Strategy
... For the prediction of return the functional link artificial neural network (FLANN) has been used with its weight trained by evolutionary computing methods. The inputs to the network are some financial and ...
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Modified Interactive Evolutionary Computing for Speed Control of an Electric DC Motor
... DC motors are important components of most of the process control industries. PID controllers are extensively used in DC motors for speed as well as position control. Tuning of PID controller parameters is an iterative ...
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Implementation of Evolutionary Computing Techniques for Cancer Diagnosis Using Digital Signal Processor
... implement Evolutionary Computing (EI) techniques like Fuzzy Logic, Genetic Algorithm, Neural Network, and Adoptive Neuro-Fuzzy Inference System (ANFIS) for diagnosis of cancer using TMS320C6713 (Texas ...
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DC operating point analysis using evolutionary computing
... on evolutionary computing ...an Evolutionary Algorithm (EA) to search the solution space to find these ...Various evolutionary algorithms are ...(NR). Evolutionary algorithms are shown ...
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On the suitability of evolutionary computing to developing tools for intelligent music production
... Fitness functions — The definition of a “good” mix, or at least a desired mix, can be complex but is ultimately subjective. What is required is a numerical value for fitness. Quantities to be minimised include the dis- ...
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Interactive composition and performance framework with evolutionary computing
... Evolutionary computing brings a repertoire of simula- tions to the general class of complex dynamical systems. With an increase of processing power in modern compu- ting, the horizon of interactive ...
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Towards improving numerical weather predictions by evolutionary computing techniques
... This work describes our ongoing investigation mainly focused on enhancing short-range weather forecasting by estimating optimal NWP model closure parameter values, using an evolutionary computing method; ...
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Role of Evolutionary Computing Techniques for Knowledge Discovery: A Survey
... intermediate. Evolutionary programming (EP) was proposed to develop artificial ...in evolutionary programming as they provide a meaningful representation of behaviour based on interpretation of ...of ...
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A literature review on the application of evolutionary computing to credit scoring
... on evolutionary computing, which is viewed as one of the most promising paradigms of computational ...of evolutionary algorithms to credit scoring by means of a thorough review of scientific articles ...
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Performance-based control system design automation via evolutionary computing
... Introduction, evolutionary algorithm is probabilistic in nature and based on a- posteriori information obtained by computerized trial-and-error, require no direct guidance and thus no stringent conditions on the ...
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An Evolutionary Computing Model to Implement Decision Support Systems for Buying Electronics
... For future work, we plan to create a multi-agent evolutionary system to contemplate the main theories involving the line of knowledge discovery research to automate negotiation processes. Parallel to this task, we ...
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Image Mining Based On Evolutionary Computing
... on Evolutionary Computation (CEC ’00), SanDiego, Calif, USA, July ...of evolutionary algorithms for parameter ...of Evolutionary Computation,Oxford University Press, Oxford, UK, ...
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Review on Evolutionary Computing Techniques in Power System for Economic Load Dispatch
... or evolutionary programming (EP) approach is used to identify the autoregressive moving average with exogenous variable model for load demand ...natural evolutionary process, the algorithm offers the ...
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Evolutionary computing techniques to aid the acquisition and analysis of nuclear magnetic resonance data
... List of Tables Chapter 1 Introduction to Nuclear Magnetic Resonance Chapter 2 Evolutionary Techniques and their Use in the Medical Domain and Techniques for Interpreting NMR Spectra Tabl[r] ...
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The Security Challenges in the IoT Enabled Cyber-Physical Systems and Opportunities for Evolutionary Computing & Other Computational Intelligence
... There has been a lot of research on cybersecurity with evolutionary computation and other computational intelligence techniques. For example, Akyaz and Uyar [5] proposed an Artificial Immune System-inspired ...
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Substructural Analysis Using Evolutionary Computing Techniques
... The trend is similar for the MDDR COX activity class (Table 6.9b), where the different active compounds retrieved from multiple runs ranged from 0 to 20. These results show [r] ...
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Application of evolutionary computing in the design of high throughput digital filters.
... O ptim ization of fir digital filters over canonical signed digit coefficient space using genetic algorithm s. Computational Int< lligcnce, The expert[r] ...
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Electrical power grid network optimisation by evolutionary computing
... A MOOEA (Deb, 2001) is generally a heuristic, stochastic means of searching very large non- linear decision or objective spaces in order to attempt to obtain (near) optimal or high-performing solutions (Jones et al., ...
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Evolutionary Neuro-Computing Approaches to System Identification
... etc. Evolutionary approaches are considered as global approaches to connection weight training of NNs, especially when gradient information of the error function is difficult to ...the Evolutionary ...
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