Skip to content

Latest commit

 

History

History
18 lines (15 loc) · 609 Bytes

File metadata and controls

18 lines (15 loc) · 609 Bytes

TSP-using-Evolutionary-Algorithm

Problem Statement

Implement Genetic Algorithm in Python to solve Traveling Salesman Problem

TSP Description 8 cities in all Cost from A to B would be same for B to A

GA Description • Population Size – 10 • Fitness Function – Cost of the tour • Parent Selection Scheme – Binary Tournament • Crossover operator – 2 points cross over – randomly selected points • Mutation operator – Swap Mutation – randomly selected points • Pool of offspring – 10 • Survival Mechanism – Truncation • Termination Condition – 100 Generations