Programming with a Genetic Algorithm
Multiobjective Programming With Continuous Genetic Algorithm
... Multiobjective Programming With Continuous Genetic Algorithm Adugna Fita Abstract: Nowadays, we want to have a good life, which may mean more wealth, more power, more respect and more time for our ...
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Applying Genetic Algorithm on Dynamic Programming Problems
... - Genetic Algorithm, Dynamic Programming, Greedy Programming, LCS, Knapsack, Matrix chain multiplication ...A. Genetic Algorithm GA is one of the most effective kinds of ...
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GENETIC ALGORITHM: APPLICATIONS TO LINEAR AND INTEGER PROGRAMMING PROBLEMS
... Linear Programming (MILP) was first used, in a discrete-time ...State Genetic Algorithm integrated to Linear Programming for solving the same ...
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Duality in Nonlinear Fractional Programming Problem Using Fuzzy Programming and Genetic Algorithm
... fractional programming problem with multiple ...fractional programming has been considered under fuzzy ...nonlinear programming using exponential membership ...example. Genetic ...
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Designing A Nonlinear Integer Programming Model For A Cross-Dock By A Genetic Algorithm
... integer programming model for a cross-dock problem that considers the total transportation cost of inbound and outbound trucks from an origin to a destination and the total cost of assigning strip and stack doors ...
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Original Article Efficient Genetic Algorithm on Linear Programming Problem for Fittest Chromosomes
... computer algorithm being based on the evolutionary of organism is surprising, the extensiveness with which this algorithm is applied in so many areas is no less than ...linear programming problem ...
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Evaluation of Ant Colony Optimization Algorithm Compared to Genetic Algorithm, Dynamic Programming and Branch and Bound Algorithm Regarding Travelling Salesman Problem
... which algorithm is suitable for which ...are Genetic algorithm, Dynamic programming, Branch and bound ...which algorithm serves the best in what sort of situation faced in real ...
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Genetic algorithm based on simplex method for solving linear-quadratic bilevel programming problem
... a genetic algorithm is given to solve the linear-quadratic bilevel programming ...level programming by using the Kuhn–Tucker conditions of the lower level ...linear programming, which ...
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A Non linear Programming Model for the Machine Grouping and a Genetic Algorithm based Solution Methodology
... integer programming model for the design of manufacturing cells is proposed in this paper to minimize the heterogeneity of cells formed for the given part-machine incidence ...a genetic algorithm ...
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A Multi-Period MPS Optimization Using Linear Programming and Genetic Algorithm with Capacity Constraint
... commercial genetic algorithm based optimizer ...powerful genetic algorithm based optimization techniques, which can find optimal solutions to unsolvable problems for standard linear and ...
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Three Objective Programming with Continuous Variable Genetic Algorithm
... The subject area of multiobjective optimization deals with the investigation of optimization prob- lems that possess more than one objective function. Usually, there does not exist a single solution that optimizes all ...
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A Constraint programming-based genetic algorithm for capacity output optimization
... The initial population was modified by the genetic operators, namely, selection, crossover, and mutation, to improve fitness. Following Haupt and Haupt (2004), the standard approach, roulette wheel selection, was ...
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Genetic Programming Algorithm for Designing of Control Systems
... GP algorithm is a very flexible ...the algorithm, its operators and the method used for evaluating individuals to a given ...other algorithm, i.e. the genetic algorithm, has been ...GP ...
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Cellular Genetic Programming Algorithm Applied to Classification Task
... DM algorithm, Structured Query Language (SQL) can be ...GP algorithm applied to DM, reduction of the evaluation time would have a significant impact on overall performance of the ...way genetic DM ...
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An Enhanced Genetic Programming Algorithm for Optimal Controller Design
... 4) Contribution Operation: It determines the contribu- tion of each of the basis functions in the individual. It resolves the problem of poor diversity of the basis func- tions by deleting any basis function that has a ...
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genetic programming
... evolutionary algorithm that produces code in any programming ...The algorithm starts from the start symbol of the grammar and gradually creates the program string by replacing non terminal symbols ...
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Improved Genetic Programming Algorithm Applied to Symbolic Regression and Software Reliability Modeling
... the genetic material of two par- ents by swapping a part of one parent with a part of the other ...the genetic material of two parents is replaced by the same structure of the ...The algorithm is ...
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Prediction of Concrete Faced Rock Fill Dams Settlements Using Genetic Programming Algorithm
... the algorithm, a model attains which could be used simply for the ...GP algorithm these lengths might be variable. In the GP algorithm the first step is to make the first generation by creation of ...
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Working with OpenCL to Speed Up a Genetic Programming Financial Forecasting Algorithm: Initial Results
... EDDIE is a Genetic Programming algorithm that makes predic- tions about potential opportunities in the stock market. Recently additional features have been added to EDDIE, which significantly ...
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Genetic programming and protocol configuration
... GP algorithm would need to be designed and implemented to deal with the variances of linear evolution and ...specialised genetic programming solution of this ...
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