Could neural networks be considered metaheuristics?












2












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A metaheuristic is defined as




a metaheuristic is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem




So my question is if a neural net could be consider in that definition










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    2












    $begingroup$


    A metaheuristic is defined as




    a metaheuristic is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem




    So my question is if a neural net could be consider in that definition










    share|cite|improve this question







    New contributor




    Mntfr is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















      2












      2








      2





      $begingroup$


      A metaheuristic is defined as




      a metaheuristic is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem




      So my question is if a neural net could be consider in that definition










      share|cite|improve this question







      New contributor




      Mntfr is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      A metaheuristic is defined as




      a metaheuristic is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem




      So my question is if a neural net could be consider in that definition







      neural-networks






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      Mntfr is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      share|cite|improve this question







      New contributor




      Mntfr is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      share|cite|improve this question




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      asked 7 hours ago









      MntfrMntfr

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          3 Answers
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          $begingroup$

          The notion of a "metaheuristic" is not something with a precise formal definition. Personally, a neural network isn't something I'd consider a metaheuristic; it doesn't seem quite like what we have in mind when we talk about metaheuristics. But you can always use language however you like, as long as it is clear to others and doesn't cause confusion.






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            1












            $begingroup$

            To add to the other answer(s), you can certainly use neural networks (or machine learning in general) in conjunction with metaheuristics. Indeed, there are several such approaches in the literature, for example, in trying to predict "good" initial solutions for some search method.






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              0












              $begingroup$

              When you train NN all things you do is considered methaheuristic, if you use search among NNs to pick best it is also metaheuristic.



              In this context, simple usage of NN is not considered as such, but people rarely split hair over definition. What is left is usage, when NN is used as screening of solutions or other methods (cascade of nonhomogenous nets) then it is methaheuristic, otherwise it is simply search/classification tool.






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                3 Answers
                3






                active

                oldest

                votes








                3 Answers
                3






                active

                oldest

                votes









                active

                oldest

                votes






                active

                oldest

                votes









                1












                $begingroup$

                The notion of a "metaheuristic" is not something with a precise formal definition. Personally, a neural network isn't something I'd consider a metaheuristic; it doesn't seem quite like what we have in mind when we talk about metaheuristics. But you can always use language however you like, as long as it is clear to others and doesn't cause confusion.






                share|cite|improve this answer









                $endgroup$


















                  1












                  $begingroup$

                  The notion of a "metaheuristic" is not something with a precise formal definition. Personally, a neural network isn't something I'd consider a metaheuristic; it doesn't seem quite like what we have in mind when we talk about metaheuristics. But you can always use language however you like, as long as it is clear to others and doesn't cause confusion.






                  share|cite|improve this answer









                  $endgroup$
















                    1












                    1








                    1





                    $begingroup$

                    The notion of a "metaheuristic" is not something with a precise formal definition. Personally, a neural network isn't something I'd consider a metaheuristic; it doesn't seem quite like what we have in mind when we talk about metaheuristics. But you can always use language however you like, as long as it is clear to others and doesn't cause confusion.






                    share|cite|improve this answer









                    $endgroup$



                    The notion of a "metaheuristic" is not something with a precise formal definition. Personally, a neural network isn't something I'd consider a metaheuristic; it doesn't seem quite like what we have in mind when we talk about metaheuristics. But you can always use language however you like, as long as it is clear to others and doesn't cause confusion.







                    share|cite|improve this answer












                    share|cite|improve this answer



                    share|cite|improve this answer










                    answered 5 hours ago









                    D.W.D.W.

                    103k12129293




                    103k12129293























                        1












                        $begingroup$

                        To add to the other answer(s), you can certainly use neural networks (or machine learning in general) in conjunction with metaheuristics. Indeed, there are several such approaches in the literature, for example, in trying to predict "good" initial solutions for some search method.






                        share|cite|improve this answer









                        $endgroup$


















                          1












                          $begingroup$

                          To add to the other answer(s), you can certainly use neural networks (or machine learning in general) in conjunction with metaheuristics. Indeed, there are several such approaches in the literature, for example, in trying to predict "good" initial solutions for some search method.






                          share|cite|improve this answer









                          $endgroup$
















                            1












                            1








                            1





                            $begingroup$

                            To add to the other answer(s), you can certainly use neural networks (or machine learning in general) in conjunction with metaheuristics. Indeed, there are several such approaches in the literature, for example, in trying to predict "good" initial solutions for some search method.






                            share|cite|improve this answer









                            $endgroup$



                            To add to the other answer(s), you can certainly use neural networks (or machine learning in general) in conjunction with metaheuristics. Indeed, there are several such approaches in the literature, for example, in trying to predict "good" initial solutions for some search method.







                            share|cite|improve this answer












                            share|cite|improve this answer



                            share|cite|improve this answer










                            answered 5 hours ago









                            JuhoJuho

                            15.8k54292




                            15.8k54292























                                0












                                $begingroup$

                                When you train NN all things you do is considered methaheuristic, if you use search among NNs to pick best it is also metaheuristic.



                                In this context, simple usage of NN is not considered as such, but people rarely split hair over definition. What is left is usage, when NN is used as screening of solutions or other methods (cascade of nonhomogenous nets) then it is methaheuristic, otherwise it is simply search/classification tool.






                                share|cite|improve this answer









                                $endgroup$


















                                  0












                                  $begingroup$

                                  When you train NN all things you do is considered methaheuristic, if you use search among NNs to pick best it is also metaheuristic.



                                  In this context, simple usage of NN is not considered as such, but people rarely split hair over definition. What is left is usage, when NN is used as screening of solutions or other methods (cascade of nonhomogenous nets) then it is methaheuristic, otherwise it is simply search/classification tool.






                                  share|cite|improve this answer









                                  $endgroup$
















                                    0












                                    0








                                    0





                                    $begingroup$

                                    When you train NN all things you do is considered methaheuristic, if you use search among NNs to pick best it is also metaheuristic.



                                    In this context, simple usage of NN is not considered as such, but people rarely split hair over definition. What is left is usage, when NN is used as screening of solutions or other methods (cascade of nonhomogenous nets) then it is methaheuristic, otherwise it is simply search/classification tool.






                                    share|cite|improve this answer









                                    $endgroup$



                                    When you train NN all things you do is considered methaheuristic, if you use search among NNs to pick best it is also metaheuristic.



                                    In this context, simple usage of NN is not considered as such, but people rarely split hair over definition. What is left is usage, when NN is used as screening of solutions or other methods (cascade of nonhomogenous nets) then it is methaheuristic, otherwise it is simply search/classification tool.







                                    share|cite|improve this answer












                                    share|cite|improve this answer



                                    share|cite|improve this answer










                                    answered 4 hours ago









                                    EvilEvil

                                    7,96142446




                                    7,96142446






















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