Optimal on‐line algorithms for one batch machine with grouped processing times

Optimal on‐line algorithms for one batch machine with grouped processing times

0.00 Avg rating0 Votes
Article ID: iaor201111122
Volume: 22
Issue: 4
Start Page Number: 509
End Page Number: 516
Publication Date: Nov 2011
Journal: Journal of Combinatorial Optimization
Authors: , ,
Keywords: scheduling
Abstract:

In this paper, we study on‐line scheduling problems on a batch machine with the assumption that all jobs have their processing times in [p, (1+φ)p], where p>0 and φ = ( 5 1 ) / 2 equ1 . Jobs arrive over time. First, we deal with the on‐line problem on a bounded batch machine with the objective to minimize makespan. A class of algorithms with competitive ratio ( 5 + 1 ) / 2 equ2 are given. Then we consider the scheduling on an unbounded batch machine to minimize the time by which all jobs have been delivered, and provide a class of on‐line algorithms with competitive ratio ( 5 + 1 ) / 2 equ3 . The two class of algorithms are optimal for the problems studied here.

Reviews

Required fields are marked *. Your email address will not be published.