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Genetic Algorithm for Sloving The Job-Shop Problem
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In this paper, we present a genetic algorithm and ant colony optimization algorithm for solving the Job-shop Scheduling Problem (JSSP). The genetic algorithm comprises of different stages like generating the initial population, selecting the individuals for reproduction and reproducing new individuals. Ant Colony Optimization (ACO) is a metaheuristic inspired by the foraging behavior of ants, which is also used to solve this combinatorial optimization problem. In JSSP ants move from one machine (nest) to another machine (food source) depending upon the job flow, thereby optimizing the sequence of jobs. The sequence of jobs is scheduled using Fuzzy logic and optimizes using GA and ACO. The makespan, completion time, makespan efficiency, algorithmic efficiency and the elapsed time for the genetic algorithm and the ant colony algorithm are evaluated and compared. The improvement in the performance of the algorithms based on the computed parameters is also discussed in this paper. Compu
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The full project is implemented with Matlab geneti
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To demystify the plan is fully consistent with the teaching methods prepare chromosome slides are intended to be binary. Ie, all decimal numbers in calculations when we try to get through the Crossover and mutation are applied to a binary string in Myarym and using the binary sequences on chromosome mutation and cross off our implementations. 2 with source code file description that is not without its Khvndnshvn
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firefly algorithm
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Copyright (c) 2010, Xin-She Yang All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULA
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job shop problem whit genetic algoritm for c++
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This equation can be received third degree with the required parameters , and then get the inputs needed to solve three of them.
After the application of genetic algorithm loops towards the goal and desire until that is the
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