ON THE COMPLEXITY OF LOCAL SEARCH IN UNCONSTRAINED QUADRATIC BINARY OPTIMIZATION

被引：2
|
作者：
Papp, David [1 ]
机构：
[1] North Carolina State Univ, Dept Math, Box 8205, Raleigh, NC 27695 USA
来源：
SIAM JOURNAL ON OPTIMIZATION | 2016年 / 26卷 / 02期
关键词：
local optimization; binary quadratic optimization; exponential complexity;
D O I：
10.1137/15M1047775
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
We consider the problem of finding a local minimum of a binary quadratic function and show by an elementary construction that every descending local search algorithm takes exponential time in the worst case.
引用
收藏
页码：1257 / 1261
页数：5
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