Skip to main content

Part of the book series: BestMasters ((BEST))

Abstract

In this chapter, we introduce a basic algorithm for computing a ’good’ cover of the efficient set of (MOMICP). The algorithm illustrates the basic procedure that we use. The idea of this Branch-and-Bound algorithm is to iteratively split the initial box B into smaller subboxes and derive lower and upper bounds for respective subproblems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Stefan Rocktäschel .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Fachmedien Wiesbaden GmbH, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Rocktäschel, S. (2020). A basic Branch-and-Bound algorithm for (MOMICP). In: A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization. BestMasters. Springer Spektrum, Wiesbaden. https://doi.org/10.1007/978-3-658-29149-5_3

Download citation

Publish with us

Policies and ethics