8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Optimisation of distributed manufacturing flexible job shop scheduling by using hybrid genetic algorithms

      ,
      Journal of Intelligent Manufacturing
      Springer Science and Business Media LLC

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references32

          • Record: found
          • Abstract: found
          • Book: not found

          Genetic Algorithms in Search, Optimization, and Machine Learning

          A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Routing and scheduling in a flexible job shop by tabu search

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              A genetic algorithm for the Flexible Job-shop Scheduling Problem

                Bookmark

                Author and article information

                Journal
                Journal of Intelligent Manufacturing
                J Intell Manuf
                Springer Science and Business Media LLC
                0956-5515
                1572-8145
                December 2017
                April 28 2015
                December 2017
                : 28
                : 8
                : 1973-1986
                Article
                10.1007/s10845-015-1084-y
                6e467bea-ff61-49fd-9f2e-1034ea0657b2
                © 2017

                http://www.springer.com/tdm

                History

                Comments

                Comment on this article