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Jin-Kao Hao

Department of Computer Science, LERIA Laboratory, University of Angers, Angers, France

21 papers hereh-index 5711.6k citations314 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author8
  • last author13

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.DM8
  • cs.AI6
  • cs.DS3
  • cs.NE3
  • cs.LG1
affiliations
  • Department of Computer Science, LERIA Laboratory, University of Angers, Angers, France
Homepage
same name
  • Jin-Kao Hao — 9 papers, h 18
  • Jin-Kao Hao — 5 papers, h 2
  • Jin-Kao Hao — 3 papers, h 3
  • Jin-Kao Hao — 2 papers, h 2
  • Jin-Kao Hao — 2 papers, h 1
  • Jin-Kao Hao — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132022
most citedA memetic algorithm for the minimum sum coloring problem

42 citations · 123 across the 21 of their papers we have counts for

collaborators
Showing cs.DSShow all

3 papers · 1 filter

cs.DS2014★ 3 cited

A note on a sports league scheduling problem

Jean-Philippe Hamiez, Jin-Kao Hao

Sports league scheduling is a difficult task in the general case. In this short note, we report two improvements to an existing enumerative search algorithm for a NP-hard sports le…

cs.DS2014★ 1 cited

A Three-Phase Search Approach for the Quadratic Minimum Spanning Tree Problem

Zhang-Hua Fu, Jin-Kao Hao

Given an undirected graph with costs associated with each edge as well as each pair of edges, the quadratic minimum spanning tree problem (QMSTP) consists of determining a spanning…

cs.DS2013★ 9 cited

Solving the minimum sum coloring problem via binary quadratic programming

Yang Wang, Jin-Kao Hao, Fred Glover +1

In recent years, binary quadratic programming (BQP) has been successively applied to solve several combinatorial optimization problems. We consider in this paper a study of using t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.