activity
20122014
most citedThe Generalized Traveling Salesman Problem solved with Ant Algorithms

58 citations · 109 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NE2014★ 5 cited

On the Resilience of an Ant-based System in Fuzzy Environments. An Empirical Study

Gloria Cerasela Crisan, Camelia-M. Pintea, Petrica C. Pop

The current work describes an empirical study conducted in order to investigate the behavior of an optimization method in a fuzzy environment. MAX-MIN Ant System, an efficient impl…

cs.AI2013★ 58 cited

The Generalized Traveling Salesman Problem solved with Ant Algorithms

Camelia-M. Pintea, Petrica C. Pop, Camelia Chira

A well known N P-hard problem called the Generalized Traveling Salesman Problem (GTSP) is considered. In GTSP the nodes of a complete undirected graph are partitioned into clusters…

cs.CR2013★ 4 cited

Sensitive Ants for Denial Jamming Attack on Wireless Sensor Network

Camelia-M. Pintea, Petrica C. Pop

A new defence mechanism for different jamming attack on Wireless Sensor Network (WSN) based on ant system it is introduced. The artificial sensitive ants react on network attacks i…

cs.CY2012★ 11 cited

Classical hybrid approaches on a transportation problem with gas emissions constraints

Camelia-M. Pintea, Petrica C. Pop, Mara Hajdu-Macelaru

In order to keep a green planet, in particular its important to limiting the pollution with gas emissions. In a specific capacitated fixed-charge transportation problem with fixed…

cs.MA2012★ 9 cited

Sensor networks security based on sensitive robots agents. A conceptual model

Camelia-M. Pintea, Petrica C. Pop

Multi-agent systems are currently applied to solve complex problems. The security of networks is an eloquent example of a complex and difficult problem. A new model-concept Hybrid…

cs.AI2012★ 22 cited

Sensitive Ants in Solving the Generalized Vehicle Routing Problem

Camelia-M. Pintea, Camelia Chira, D. Dumitrescu +1

The idea of sensitivity in ant colony systems has been exploited in hybrid ant-based models with promising results for many combinatorial optimization problems. Heterogeneity is in…