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Evolutionary algorithm

Performance Analysis of Transfer function Based Active Noise Cancellation Method Using Evolutionary Algorithm

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

Analysis of Parametric Optimization of Field-Oriented Control of 3-Phase Induction Motor with Using Evolutionary Algorithm

... The evolutionary algorithm is inspired by Darwin’s Theory of Evolution and hence here are many lean words, ...etc. Evolutionary algorithm is the one, which looks for the best solutions among ...

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Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks

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

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

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

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

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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Combining an evolutionary algorithm with data mining to solve a single-vehicle routing problem

Combining an evolutionary algorithm with data mining to solve a single-vehicle routing problem

... are abundant in the literature, the application of DM to improve the results of evolutionary algorithms is still scarce. The DM module proposed corresponds to an intensification strategy, since it tries to discover ...

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The magic square as a benchmark: comparing manual solution with MIP solution and AI algorithm and improved evolutionary algorithm

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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A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks

A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks

... optimization algorithm is required that searches an exponentially large solution space for near- optimal Bayesian network structure, as this problem was proved to be NP-hard ...deterministic algorithm ...

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 AN EVOLUTIONARY ALGORITHM FOR CHANNEL ASSIGNMENT PROBLEM IN WIRELESS MOBILE NETWORKS

AN EVOLUTIONARY ALGORITHM FOR CHANNEL ASSIGNMENT PROBLEM IN WIRELESS MOBILE NETWORKS

... optimization algorithm based on GA is presented to solve the channel assignment ...the algorithm to search for a global minimum without being trapped into a local ...this algorithm, reasonable ...

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Electrical Power and Energy Systems

Electrical Power and Energy Systems

... Unlike mono-objective problems, solving multi-objective prob- lems consists in finding a set of solutions. Indeed, the quality of such solutions is evaluated by metrics which reveal some key fac- tors: set size, ...

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Molecular evolution of peptide ligands with custom-tailored characteristics for targeting of glycostructures.

Molecular evolution of peptide ligands with custom-tailored characteristics for targeting of glycostructures.

... Manual population inspection as the driving force of a directed selection process (cycle 3) was embedded into the flow of the evolutionary algorithm (Figure 2) thereby introducing research experience into ...

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Genetic programming and bacterial algorithm for neural networks and fuzzy systems design

Genetic programming and bacterial algorithm for neural networks and fuzzy systems design

... some evolutionary optimisation algorithms suitable for global optimisation of even non-linear, high-dimensional, multimodal, and discontinuous ...genetic algorithm (GA) was developed by Holland (Holland, ...

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Evolutionary model tree induction

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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Quine-McCluskey Repair Technique for Evolutionary Design of Combinational Logic Circuits

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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Photoacoustic-based thermal image formation and optimization using an evolutionary genetic algorithm

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

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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Book Review: Why We Still Can't All Just Get Along

Book Review: Why We Still Can't All Just Get Along

... the evolutionary behavioral genetics of violent crime, Catherine Salmon and Jessica Hehman on sibling conflict and siblicide, David Bjorklund and Patricia Hawley on the evolutionary approach to the ...

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Book Review: The Nature and Nurture of Morality

Book Review: The Nature and Nurture of Morality

... However, evolutionary theorists define selfishness in significantly different ways from people who make moral ...attributions. Evolutionary theorists define selfish behaviours as behaviours that enhance an ...

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