Optimasi keuntungan dengan metode Branch and Bound
نویسندگان
چکیده
منابع مشابه
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Branch and bound algorithms are methods for global optimization in nonconvex problems [LW66, Moo91]. They are nonheuristic, in the sense that they maintain a provable upper and lower bound on the (globally) optimal objective value; they terminate with a certificate proving that the suboptimal point found is ǫ-suboptimal. Branch and bound algorithms can be (and often are) slow, however. In the w...
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ژورنال
عنوان ژورنال: AKSIOMA : Jurnal Matematika dan Pendidikan Matematika
سال: 2019
ISSN: 2579-7646,2086-2725
DOI: 10.26877/aks.v10i1.3145