Contents
What is chromosome representation in genetic algorithm?
In genetic algorithms, a chromosome (also sometimes called a genotype) is a set of parameters which define a proposed solution to the problem that the genetic algorithm is trying to solve. The chromosome is often represented as a binary string, although a wide variety of other data structures are also used.
What is the correct representation of genetic algorithm?
Genetic algorithms use linear binary representations. The most standard one is an array of bits. Arrays of other types and structures can be used in essentially the same way. The main property that makes these genetic representations convenient is that their parts are easily aligned due to their fixed size.
How is a genetic algorithm used in vrptw?
This paper presents a new genetic algorithm to solve Vehicle Routing Problem with Time Windows (VRPTW) to near optimal solutions. The objective of the problem is to serve a number of customers within predefined time windows at minimum cost, without violating the capacity and total trip time constraints for each vehicle.
Which is a variant of the vehicle routing problem vrptw?
The concept of a UAV Swarm Routing Problem (SRP) as a new combinatorics problem, is developed as a variant of the Vehicle Routing Problem with Time Windows (VRPTW). Solutions of SRP problem model result in route assignments per vehicle that successfully track to all targets, on time, within distance constraints.
How is a complex chromosome used to solve a routing problem?
A new complex chromosome is used to present the active vehicle route. Through tournament selection, one-point crossover, and migrating mutation operator, the solution of the problem is solved.
Where did the idea for vrptw come from?
This project is originated from a university course project. In 2016, a friend of mine, majoring in logistic engineering, came to me to discuss his course work project. He wanted to solve VRPTW using genetic algorithm, which I happened to know.