Modares, A., Somhom, S. and Enkawa, T. (1999) A Self-organizing Approach for Multiple Traveling Salesman and Vehicle Routing Problems. International Transactions in Operations Research, 5, 591-606.
https://doi.org/10.1111/j.1475-3995.1999.tb00175.x

has been cited by the following article:

• TITLE: A Rule Based Evolutionary Optimization Approach for the Traveling Salesman Problem

  AUTHORS: Wissam M. Alobaidi, David J. Webb, Eric Sandgren

  KEYWORDS: Traveling Salesman, Evolutionary Optimization, Rule Based Search, Heuristic Optimization, Hybrid Genetic Algorithm

  JOURNAL NAME: Intelligent Information Management, Vol.9 No.4, July 14, 2017

  ABSTRACT: The traveling salesman problem has long been regarded as a challenging application for existing optimization methods as well as a benchmark application for the development of new optimization methods. As with many existing algorithms, a traditional genetic algorithm will have limited success with this problem class, particularly as the problem size increases. A rule based genetic algorithm is proposed and demonstrated on sets of traveling salesman problems of increasing size. The solution character as well as the solution efficiency is compared against a simulated annealing technique as well as a standard genetic algorithm. The rule based genetic algorithm is shown to provide superior performance for all problem sizes considered. Furthermore, a post optimal analysis provides insight into which rules were successfully applied during the solution process which allows for rule modification to further enhance performance.