genetic algorithm

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genetic algorithm

n.
An algorithm that solves a problem using an evolutionary approach by generating mutations to the current solution method, selecting the better methods from this new generation, and then using these improved methods to repeat the process.
References in periodicals archive ?
Keywords: Smart Grid, Job Scheduling, Genetic Algorithms, Sensor networks.
Neppalli, Chen, and Gupta [4] planned two genetic algorithms for this problem.
Takahashi [11] Solved the TSP through genetic algorithms with changing crossover operators.
12] Wang ZP, Tian JC, "Optimal allocation of regional water resources based on genetic algorithms," Journal of Convergence Information Technology, vol.
Fuel flow-rate modelling of transport aircraft for the climb flight using genetic algorithms is proposed [8].
Control-System Optimization Using Genetic Algorithms.
Statistical tests are performed to compare various combinations of parameters of genetic algorithms, and the overall results of various heuristics on a realistic dataset.
Genetic algorithms are based on the Darwinian principle of natural evolution that was described in his book "On the Origin of Species by Means of Natural Selection, or the Preservation of Favored Races in the Struggle for Life"(1859).
genetic algorithms, tabu search, simulated annealing) can be used in order to solve complex optimization problems (Leu et al.
Genetic Algorithms (GAs) (Goldberg, 1989) combine survival of the fittest among string structures with a structured yet randomized information exchange to form a search algorithm.
Tanco, "The use of genetic algorithms in response surface methodology," Quality Technology & Quantitative Management, vol.

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