Online combinatorial optimization with multiple projections and its application to scheduling problem

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1 Citation (Scopus)

Abstract

We consider combinatorial online prediction problems and propose a new construction method of efficient algorithms for the problems. One of the previous approaches to the problem is to apply online prediction method, in which two external procedures the projection and the metarounding are assumed to be implemented. In this work, we generalize the projection to multiple projections. As an application of our framework, we show an algorithm for an online job scheduling problem with a single machine with precedence constraints.

Original languageEnglish
Pages (from-to)1334-1343
Number of pages10
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE101A
Issue number9
DOIs
Publication statusPublished - Sep 1 2018

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Online Optimization
Combinatorial optimization
Combinatorial Optimization
Scheduling Problem
Scheduling
Projection
Online Scheduling
Precedence Constraints
Job Scheduling
Prediction
Single Machine
Efficient Algorithms
Generalise

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

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