2018Swarm and Evolutionary ComputationRequires access

Using Karush-Kuhn-Tucker proximity measure for solving bilevel optimization problems

Ankur Sinha, Tharo Soun, Kalyanmoy Deb

Open publisher page 78 citations

Abstract

This record does not include an abstract. Use the full-text link above if available.

About this research paper

What this paper is about

An abstract is not available in the OpenAlex record for this paper.

Why it matters

OpenAlex reports 78 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Key concepts: Karush–Kuhn–Tucker conditions, Bilevel optimization, Mathematical optimization, Optimization problem, Computer science, Reduction (mathematics), Measure (data warehouse), Set (abstract data type)

Related papers

Back to paper searchBrowse research topicsOriginal source
Using Karush-Kuhn-Tucker proximity measure for solving bilevel optimization problems — Research Paper | ScholarLens