Sum-of-Max partition under a Knapsack constraint
نویسندگان
چکیده
منابع مشابه
Minimizing Average Flow-Time under Knapsack Constraint
We give the first logarithmic approximation for minimizing average flow-time of jobs in the subset parallel machine setting (also called the restricted assignment setting) under a single knapsack constraint. In a knapsack constraint setting, each job has a profit, and the set of jobs which get scheduled must have a total profit of at least a quantity Π. Our result extends the work of Gupta, Kri...
متن کاملOnline Knapsack Problem under Expected Capacity Constraint
Online knapsack problem is considered, where items arrive in a sequential fashion that have two attributes; value and weight. Each arriving item has to be accepted or rejected on its arrival irrevocably. The objective is to maximize the sum of the value of the accepted items such that the sum of their weights is below a budget/capacity. Conventionally a hard budget/capacity constraint is consid...
متن کاملApplying Max-Sum to Asymmetric Distributed Constraint Optimization
We study the adjustment and use of the Max-sum algorithm for solving Asymmetric Distributed Constraint Optimization Problems (ADCOPs). First, we formalize asymmetric factor-graphs and apply the different versions of Max-sum to them. Apparently, in contrast to local search algorithms, most Max-sum versions perform similarly when solving symmetric and asymmetric problems and some even perform bet...
متن کاملImproved Bounded Max-Sum for Distributed Constraint Optimization
Bounded Max-Sum is a message-passing algorithm for solving Distributed Constraint Optimization Problems able to compute solutions with a guaranteed approximation ratio. Although its approximate solutions were empirically proved to be within a small percentage of the optimal solution on low and moderately dense problems, in this paper we show that its theoretical approximation ratio is overestim...
متن کاملWorst-case analysis of greedy algorithms for the unbounded knapsack, subset-sum and partition problems
We present on O(n log n) greedy algorithm with a worst-case performance ratio > 4 for the unbounded knapsack problem, an O(n log n) greedy algorithm with a worst-case performance ratio of ~ for the subset-sum problem, and an O(n log n) greedy algorithm with a worst-case performance ratio of ~for the partition problem. These greedy algorithms, in the sense of worst-case performance, are better t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computers & Electrical Engineering
سال: 2023
ISSN: ['0045-7906', '1879-0755']
DOI: https://doi.org/10.1016/j.compeleceng.2022.108521