scholarly journals Using Artificial Intelligence Techniques for Large Scale Set Partitioning Problems

2012 ◽  
Vol 1 ◽  
pp. 44-49
Author(s):  
Musa Peker ◽  
Baha Sen ◽  
Safak Bayir
Keyword(s):  
Artificial Intelligence ◽  
Large Scale ◽  
Set Partitioning ◽  
Artificial Intelligence Techniques ◽  
Partitioning Problems

A Parallel, Linear Programming-based Heuristic for Large-Scale Set Partitioning Problems

2001 ◽  
Vol 13 (3) ◽  
pp. 191-209 ◽  
Author(s):  
Jeff T. Linderoth ◽  
Eva K. Lee ◽  
Martin W. P. Savelsbergh
Keyword(s):  
Linear Programming ◽  
Large Scale ◽  
Set Partitioning ◽  
Partitioning Problems

scholarly journals LARGE-SCALE SET PARTITIONING PROBLEMS: SOME REAL‐WORLD INSTANCES HIDE A BENEFICIAL STRUCTURE

2006 ◽  
Vol 12 (1) ◽  
pp. 18-22
Author(s):  
Luca Coslovich ◽  
Raffaele Pesenti ◽  
Walter Ukovich
Keyword(s):  
Exact Solution ◽  
Heuristic Algorithm ◽  
Real World ◽  
Large Scale ◽  
Set Partitioning ◽  
Trucking Industry ◽  
The Real ◽  
Benchmark Instances ◽  
Partitioning Problems ◽  
Insight Into

In this paper we consider large‐scale set partitioning problems. Our main purpose is to show that real‐world set partitioning problems originating from the container‐trucking industry are easier to tackle in respect to general ones. We show such different behavior through computational experiments: in particular, we have applied both a heuristic algorithm and some exact solution approaches to real‐world instances as well as to benchmark instances from Beasley OR‐library. Moreover, in order to gain an insight into the structure of the real-world instances, we have performed and evaluated various instance perturbations.

A Survey on Artificial Intelligence Techniques to Prevent Cyber Crime

2018 ◽  
Vol 8 (5) ◽  
pp. 80
Author(s):  
Juveriya Afreen
Keyword(s):  
Artificial Intelligence ◽  
Cyber Security ◽  
Data Security ◽  
Human Reasoning ◽  
Cyber Crime ◽  
Artificial Intelligence Techniques

Abstract-- With increase in complexity of data, security, it is difficult for the individuals to prevent the offence. Thus, by using any automation or software it’s not possible by only using huge fixed algorithms to overcome this. Thus, we need to look for something which is robust and feasible enough. Hence AI plays an epitome role to defense such violations. In this paper we basically look how human reasoning along with AI can be applied to uplift cyber security.

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