2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and PHD Forum 2011
DOI: 10.1109/ipdps.2011.177
|View full text |Cite
|
Sign up to set email alerts
|

A Genetic Algorithm with a Penalty Function in the Selective Travelling Salesman Problem on a Road Network

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2013
2013
2022
2022

Publication Types

Select...
4
3

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(2 citation statements)
references
References 9 publications
0
2
0
Order By: Relevance
“…The advantage of penalty technique is simple to implement. It is used to solve successfully many problem [21]. All infeasible solutions are penalized by a value.…”
Section: Feasible Solution Spacementioning
confidence: 99%
“…The advantage of penalty technique is simple to implement. It is used to solve successfully many problem [21]. All infeasible solutions are penalized by a value.…”
Section: Feasible Solution Spacementioning
confidence: 99%
“…Then for the next generation most fit candidates are chosen. And when further mutation occurs the fitness of the next generation would increase [29]. There are several routines in application of GA like, crossover routine, measure of fitness routine, and a mutation routine.…”
Section: Tour Improvementmentioning
confidence: 99%