Evolutionary algorithm (EA)
Performance Analysis of Transfer function Based Active Noise Cancellation Method Using Evolutionary Algorithm
... of evolutionary algorithm. Genetic algorithm is based upon the process of natural selection and doesn’t require gradient ...This algorithm is able to find a global error minimum. The genetic ...
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Analysis of Parametric Optimization of Field-Oriented Control of 3-Phase Induction Motor with Using Evolutionary Algorithm
... Modern control system of rotational speed of induction motor is vector control one. There are known many such control systems, ex.: field-orientated control, direct torque control [1, 4, 5]. In field-oriented control ...
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Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks
... Pareto Evolutionary Algorithm (SPEA), is presented in this paper to solve the shortest path routing ...multi-objective evolutionary algorithms in a unique ...clustering algorithm to provide ...
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Alternative Method for Solving Traveling Salesman Problem by Evolutionary Algorithm
... no algorithm has been known to solve this problem in the polynomial ...of evolutionary algorithm, which can give after finite number of iteration „effective“ ...Migrating Algorithm and two ...
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GeDEA-II: A Novel Evolutionary Algorithm for Multi-Objective Optimization Problems Based on the Simplex Crossover and The Shrink Mutation
... the Evolutionary algorithm-based global search and the Simplex theory, since global exploration and local search are intimately related and performed simultaneously, in such a way that they take advantage ...
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A Review on Detection and Prevention of Prankster Attack using evolutionary Algorithm in VANET
... In this proposed, we aim to detect the Prankster attack in VANET. To cope with Prankster attack, we put forth a twofold strategy based Genetic Algorithm. The genetic algorithm will optimize the prankster ...
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Application of an iterative method and an evolutionary algorithm in fuzzy optimization
... genetic algorithm for the proposed fuzzy problems in this work; Section 4 presents a satisfaction level which tries to establish a tradeoff between α-cut level and the solution of the objective function; Section 5 ...
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Quine-McCluskey Repair Technique for Evolutionary Design of Combinational Logic Circuits
... with evolutionary algorithm ...(Q-M) algorithm, is proposed for evolutionary design of combinational logic ...novel evolutionary design algorithm, named EA-QMRT, is ...
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Combining an evolutionary algorithm with data mining to solve a single-vehicle routing problem
... In another experiment, the objective was to verify the empirical probability distribution of reaching a given solution target value (i.e. find a solution with value as good as the target solution value) in function of ...
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Molecular evolution of peptide ligands with custom-tailored characteristics for targeting of glycostructures.
... The evolutionary process is initiated with a peptide library of random sequences or with lead peptides either of known rudimentary suitability or designed by structural ...an evolutionary algorithm ...
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AN EVOLUTIONARY ALGORITHM FOR CHANNEL ASSIGNMENT PROBLEM IN WIRELESS MOBILE NETWORKS
... algorithm. A set of eligible channels E(k) is determined in order to assign a possible channel upon a new call requests in cell k. In this case E(k) = S – (O(k) P(k)), where S is the entire set of available ...
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A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks
... PBIL-based algorithm with probability mutation in comparison with K2 with its constraint ...conventional algorithm, we repeat creating Bayesian network models, in which its constraints ...genetic ...
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The magic square as a benchmark: comparing manual solution with MIP solution and AI algorithm and improved evolutionary algorithm
... find all global solutions, Parsopoulos and Vrahatis [11 ] proposed a modification of the PSO algorithm that relies on a function stretching technique, which is used to e[r] ...
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Genetic programming and bacterial algorithm for neural networks and fuzzy systems design
... Bacterial Evolutionary Algorithm (BEA) applied for fuzzy rule ...GP algorithm is outlined, enabling the designer to obtain models more adequate for their intended ...
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Electrical Power and Energy Systems
... Multi-objective Evolutionary Algorithm for Distribution Feeder Reconfiguration (IMOEA-DFR), uses interval analysis to perform configuration assessment by con- sidering the uncertainties in the power ...
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Evolutionary model tree induction
... an evolutionary algorithm can greatly influence whether the algorithm will find a near-optimum solution, and whether it will find such a solution ...and Evolutionary Computation Conference, as ...
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Photoacoustic-based thermal image formation and optimization using an evolutionary genetic algorithm
... The results observed in this study are dependent on the setup, composed of a linear probe with limited bandwidth, and the sample used. Different setups could lead to different sensitivity and accuracy in temperature ...
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A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls
... multi-objective evolutionary algorithms was proposed by Zhou et ...multi-objective evolutionary algorithm for the problem of optimization of vehicle routing problems with multiple depots, multiple ...
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Implications of hepatitis C virus subtype 1a migration patterns for virus genetic sequencing policies in Italy
... dataset with strong temporal signal [32]. Exploratory runs with this model setup, however, indicated this still repre- sented an overparameterization, which is why the mean clock rate was fixed to the mean of the NS3 ...
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Evolutionary Awareness
... an evolutionary dimension —a dimension that not only informs individuals about the origins of psychological mechanisms responsible for unethical business practices, such as various forms of cheating (Cosmides and ...
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