Apr 1, 2013 · Experimental results on well-studied TSP benchmarks demonstrate that the proposed GA outperforms state-of-the-art heuristic algorithms in finding very high-quality solutions on instances …

Sep 1, 2023 · We propose a new method called the Reinforced Hybrid Genetic Algorithm (RHGA) for solving the famous NP-hard Traveling Salesman Problem (TSP). Specifically, we combine …

May 1, 2013 · 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 …

Edge Assembly Crossover: A High-Power Genetic Algorithm for the Travelling Salesman Problem 来自 ResearchGate 喜欢 0 阅读量： 433

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 …

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 …

Dec 15, 2024 · The Genetic Algorithm (GA) is an optimization technique inspired by Charles Darwin's theory of evolution through natural selection [1]. First developed by John H. Holland in 1973 [2], GA …

Abstract Optimal results for the Traveling Salesrep Problem have been reported on problems with up to 3038 cities us-ing a GA with Edge Assembly Crossover (EAX). This paper first attempts to …

This article is published in international conference on Genetic algorithms. The article was published on 01 Jan 1997. and is currently open access. The article focuses on the topics: Bottleneck traveling …

Abstract 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 …