Skip to search formSkip to main contentSkip to account menu

Combinatorial optimization

Known as: Combinatorial optimisation 
In applied mathematics and theoretical computer science, combinatorial optimization is a topic that consists of finding an optimal object from a… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Abstract—Gravitational search algorithm (GSA) is a swarm intelligence heuristic optimization algorithm based on the law of… 
2010
2010
Many computer vision problems involving feature correspondence among images can be formulated as an assignment problem with a… 
2005
2005
Object extraction is a core component of computer vision with application to segmentation, tracking, etc. In this paper we… 
2004
2004
This paper presents a differential evolution algorithm to solve the permutaion flowshop sequencing problem with makespan… 
2004
2004
: Since the 1960’s automated approaches to examination timetabling have been explored and a wide variety of approaches have been… 
2001
2001
N Jimenez-Redondo comments on the paper by C.P. Cheng et al. (see ibid, vol.15, no.2, p.707-14, 2000). The original authors reply… 
1997
1997
We describe a method for recovering the camera position and orientation parameters from a single mountain image. It is based on… 
Highly Cited
1990
Highly Cited
1990
A local search optimization procedure, subset-convergent local search, is developed for identifying known 2D models in broken and… 
1971
1971
This paper examines the combinatorial approach to the solution of the n-job, M-machine flowshop scheduling problem under the…