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Accuracies, run times, and statistics for genetic algorithms with various mutation rates solving the N-queens problem.

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f1000.figshare.com2023-05-31 更新2025-01-22 收录
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https://f1000.figshare.com/articles/dataset/Accuracies_run_times_and_statistics_for_genetic_algorithms_with_various_mutation_rates_solving_the_N_queens_problem_/640022/1
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In the nqueensnomut, nqueensconstmut, and nqueenssigmoid tabs, the end heuristic (number of queens attacking each other on the board, with 0 m) found by that genetic algorithm is displayed along with the time the algorithm took to converge to that solution (in generations). In the stats tabs, t-tests are run to compare the accuracies and convergence generations among the different mutation rate genetic algorithms.Key: mut rate: mutation rate, converg: convergence (generations), end h (end heuristic) nomut: no mutation, constmut, constant mutation.

在nqueensnomut、nqueensconstmut和nqueenssigmoid标签页中,展示由遗传算法找到的终止启发式(棋盘上相互攻击的皇后的数量,m值为0)以及算法收敛到该解所耗费的时间(以代数为单位)。在统计标签页中,执行t检验以比较不同突变率遗传算法的准确性和收敛代数。关键词:突变率:突变率,收敛:收敛(代数),终止启发式(end heuristic)nomut:无突变,constmut,恒定突变。
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