The edge recombination operator (ERO) is an operator that creates a path that is similar to a set of existing paths (parents) by looking at the edges rather than the vertices. The main application of this is for crossover in genetic algorithms when a genotype with non-repeating gene sequences is needed such as for the travelling salesman problem .

Crossover in evolutionary algorithms and evolutionary computation, also called recombination, is a genetic operator used to combine the genetic information of two parents to generate new offspring.

May 6, 2015 · Examples of ERX-like operators include: Edge Recombination (ERX), Edge-2, Edge-3, Edge-4, and Generalized Partition Crossover (GPX). OX-like crossovers. Two crossover points are chosen. Then, the genes between the points are swapped between the two parents.

Mar 10, 2023 · Crossover is a genetic operator used to vary the programming of a chromosome or chromosomes from one generation to the next. Crossover is sexual reproduction. Two strings are picked from the mating pool at random to crossover in order to produce superior offspring.

May 4, 2012 · This paper presents a genetic algorithm (GA) for solving the traveling salesman problem (TSP). To construct a powerful GA, we use edge assembly crossover (EAX) and make substantial enhancements to ...

Abstract: This paper proposes a new tabu technique to enhance the search performance of edge assembly crossover (EAX). EAX is known as the most promising recombination operator for the traveling salesman problem (TSP) among population-based evolutional approaches such as genetic algorithm (GA).

A genetic algorithm using Edge Assembly Crossover for the traveling salesman problem. This GA is known as one of the most powerful heuristic algorithms for the traveling salesman problem, and this code was originally published on the journal site as a supplementary material for this paper.

Genetic algorithms are a sub-class of evolutionary algo... ... process is repeated until the child list is the same length as the parent chromosome. A full example of ER is seen in Figure 2....

A Powerful Genetic Algorithm Using Edge Assembly Crossover for the Traveling Salesman Problem. This code has the following parameters: TRIAL: trial count. GENERATION: number of generation. POPULATION: number of population. CHILDREN: number of offspring. OPT_DIST: the distance of optimal solution. DEPTH: depth of searching.

The edge recombination operator (ERO) is an operator that creates a path that is similar to a set of existing paths (parents) by looking at the edges rather than the vertices. The main application of this is for crossover in genetic algorithms when a genotype with ordered genes is needed such as for the travelling salesman problem.