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genetic algorithm

Optimizing Inventory Using Genetic Algorithm for Efficient Supply Chain Management

Optimizing Inventory Using Genetic Algorithm for Efficient Supply Chain Management

... using Genetic algorithm and the optimal product that needs to be kept in the level of control is determined on the basis of the knowledge of the past ...

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Order Reduction of Linear Interval Systems Using Genetic Algorithm

Order Reduction of Linear Interval Systems Using Genetic Algorithm

... using Genetic algorithm for reducing a high order large scale linear interval system into a lower order interval system has been ...proposed. Genetic algorithm method based evolutionary ...

4

Level of Repair Analysis based on Genetic Algorithm with Tabu Search

Level of Repair Analysis based on Genetic Algorithm with Tabu Search

... - Genetic algorithms and their hybrid schemes have shown a great efficacy in solving large scale combinatorial problems in which solutions are highly ...hybridised Genetic Algorithm with Tabu Search ...

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Creating 3D object descriptors using a genetic algorithm

Creating 3D object descriptors using a genetic algorithm

... a genetic algorithm [Hol75], tries to find the optimal parameters for a 3D cloud descriptor in the vast space of ...The genetic algorithm in some versions also encodes weight parameters, that ...

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A genetic algorithm for the ligand-protein docking problem

A genetic algorithm for the ligand-protein docking problem

... “steady-state” genetic algorithm (SSGA) using a grid-based methodology in docking five HIV-1 protease-ligand complexes having known three-dimensional ...implemented genetic algorithm was able ...

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Genetic Algorithm applied to Traffic Control Problems

Genetic Algorithm applied to Traffic Control Problems

... called Genetic Algorithm, aiming to resolve a high complexity of real system, which is associated with the unbalance between the capacity and demand in the air transportation ...

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Eddy current testing probe optimization using a parallel genetic algorithm

Eddy current testing probe optimization using a parallel genetic algorithm

... Abstract: This paper uses the developed parallel version of Michalewicz’s Genocop III, Genetic Algorithm (GA) searching technique to optimize the coil geometry of an eddy current non-destructive testing ...

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Rough Sets and Genetic Algorithm Using for Diagnostic Problems Solving

Rough Sets and Genetic Algorithm Using for Diagnostic Problems Solving

... practice. Genetic algorithm makes an opportunity to provide an appropriate solution with incomplete and a priori not available part of information about judged state of ...

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Overview of Tumor Detection using Genetic Algorithm

Overview of Tumor Detection using Genetic Algorithm

... Original genetic algorithm assumed a generational approach: selection, recombination and mutation were applied to a population of M chromosomes until a new set of M individuals had been ...

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MIMO array capacity optimization using a genetic algorithm

MIMO array capacity optimization using a genetic algorithm

... a genetic algorithm to obtain the position and orientation of each MIMO array antenna that maximizes the ergodic capacity for a given propagation ...a genetic algorithm (GA)-optimized array is ...

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Input Frequencies Optimization Based on Genetic Algorithm for Maximal Mutual Information

Input Frequencies Optimization Based on Genetic Algorithm for Maximal Mutual Information

... A genetic algorithm (GA) offers an alternative to traditional local search ...optimization algorithm inspired by the well-known biological processes of genetics and ...in genetic changes ...

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A HYBRID OPTIMIZATION ALGORITHM BASED ON GENETIC ALGORITHM AND ANT COLONY OPTIMIZATION

A HYBRID OPTIMIZATION ALGORITHM BASED ON GENETIC ALGORITHM AND ANT COLONY OPTIMIZATION

... Genetic Algorithm (GA) is a computational method designed to simulate the evolution processes and natural selection in organism[12], which follows the sequence as generating the initial population, ...

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Hybrid Architecture of Genetic Algorithm and Simulated Annealing

Hybrid Architecture of Genetic Algorithm and Simulated Annealing

... Genetic Algorithm (GA)[1] was proposed by Holland as an algorithm for probabilistic search, learning, and optimization, and is based in part on the mechanism of biological evolution and Darwin’s ...

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A Constructive hybrid genetic algorithm for the flowshop scheduling problem

A Constructive hybrid genetic algorithm for the flowshop scheduling problem

... new Genetic Algorithm ...traditional genetic algorithm, since it has a random function that cannot give such a ...Constructive Genetic Algorithm) and it follows, therefore, all ...

5

Function Approximation of Seawater Density Using Genetic Algorithm

Function Approximation of Seawater Density Using Genetic Algorithm

... Genetic Algorithm Operators: In biology, strong offspring is a result of two partners who mate and ...Another genetic algorithm operation is mutation, where part of the solution is flipped or ...

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A Bias Random Key Genetic Algorithm for a AGV Scheduling Problem

A Bias Random Key Genetic Algorithm for a AGV Scheduling Problem

... BRKGA (Bias Random-Key Genetic Algorithm) foi a framework escolhida para obter mel- hores respostas para o problema de escalonamento. Este algoritmo usa chaves aleatórias para representar cromossomas. O ...

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A Genetic Algorithm Approach for Solving a Flexible Job ShopScheduling Problem

A Genetic Algorithm Approach for Solving a Flexible Job ShopScheduling Problem

... Flexible job shop scheduling has been noticed as an effective manufacturing system to cope with rapid development in today’s competitive environment. Flexible job shop scheduling problem (FJSSP) is known as a NP-hard ...

6

A genetic algorithm to solve a multi-product distribution problem

A genetic algorithm to solve a multi-product distribution problem

... We will use a genetic algorithm (GA) built from scratch in Python language. The programming language chosen is, first, the one that the mentee has some knowledge of and, secondly, Python’s flexibility, ...

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Neural Synchronization Using Genetic Algorithm for Secure Key Establishment

Neural Synchronization Using Genetic Algorithm for Secure Key Establishment

... a genetic algorithm. In this paper the performance of the genetic algorithm has been analysed by varying the number of hidden and input ...

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