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Kor, Orçun, author.
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Genetic algorithms.
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Altıntaş, Hayri, author.
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Genetic algorithms
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Deveci, Hamza Arda.
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Genetic algorithms.
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Söyleyici, Mehmet Umut.
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Genetic algorithms.
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Özdemir, Muhammed Emin, author.
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investigated. Two classification algorithms are applied with two different cross validation methods: For both
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Ege, Irmak, author.
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classifier with data augmentation, are beneficial for obtaining more generalizable learning algorithms. The
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Dilsiz, Kadriye Çağla, author.
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stochastic optimization algorithms. Two different problems of front width are studied. Differential Evolution
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Uzunoğlu, Emre, author.
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concept. Controller designs, including the motion planning algorithms are devised taking into account the
by
Aydın, Levent.
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Simulated Annealing (SA) algorithms. MATLAB Optimization Toolbox is used to obtain Pareto-optimal designs
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Karakurt, Murat.
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, temporal difference learning, and Q-learning architectures were realized, all these algorithms are
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Erten, Hacer İrem, author.
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Differential Evolution, Nelder-Mead, Random Search and Simulated Annealing algorithms. By comparing the
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Sayı, Abdülmecit Harun, author.
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calculated to compare the workloads of algorithms. In conclusion, optimized pressure vessels have provided
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