A genetic algorithm for resource investment project scheduling problem,tardiness permitted with penalty |
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| Authors: | Shahram Shadrokh Fereydoon Kianfar |
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| Affiliation: | Industrial Engineering Department, Sharif University of Technology, Tehran, Iran |
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| Abstract: | In this paper a genetic algorithm for solving a class of project scheduling problems, called Resource Investment Problem, is presented. Tardiness of project is permitted with defined penalty. Elements of algorithm such as chromosome structure, unfitness function, crossover, mutation, immigration and local search operations are explained. |
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| Keywords: | Project scheduling Genetic algorithms Resource Investment |
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