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Could neural networks be considered metaheuristics?
Train Neural network with infinite amount of dataEvolving artificial neural networks for solving NP problemsWhat method of collective recogintion to use for digits recognition?Neural Networks: Style transfer for audioNon linear neural networks?NEAT algorithm and dynamic topology neural networksReplace EKF by Neural NetworksViable use of genetic algorithms to train neural nets in a poker bot?Formal definition of loss surface of multi-layered networksConverting (reverse-engineering) Turing machine into program or most concise algorithm?
$begingroup$
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
neural-networks
asked Apr 2 at 19:46
MntfrMntfr
1111
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add a comment |
$begingroup$
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
neural-networks
asked Apr 2 at 19:46
MntfrMntfr
1111
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.
$endgroup$
add a comment |
$begingroup$
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
neural-networks
asked Apr 2 at 19:46
MntfrMntfr
1111
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
neural-networks
asked Apr 2 at 19:46
MntfrMntfr
1111
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.
asked Apr 2 at 19:46
MntfrMntfr
1111
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.
asked Apr 2 at 19:46
MntfrMntfr
1111
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.
asked Apr 2 at 19:46
MntfrMntfr
1111
asked Apr 2 at 19:46
MntfrMntfr
1111
1111
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.
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.
Mntfr is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
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3 Answers
3
active
oldest
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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.
answered Apr 2 at 21:10
D.W.♦D.W.
103k12129294
$endgroup$
add a comment |
$begingroup$
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.
answered Apr 2 at 21:35
JuhoJuho
15.8k54292
$endgroup$
add a comment |
$begingroup$
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.
answered Apr 2 at 22:08
EvilEvil
8,03142446
$endgroup$
add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
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.
answered Apr 2 at 21:10
D.W.♦D.W.
103k12129294
$endgroup$
add a comment |
$begingroup$
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.
answered Apr 2 at 21:10
D.W.♦D.W.
103k12129294
$endgroup$
add a comment |
$begingroup$
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.
answered Apr 2 at 21:10
D.W.♦D.W.
103k12129294
$endgroup$
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.
answered Apr 2 at 21:10
D.W.♦D.W.
103k12129294
answered Apr 2 at 21:10
D.W.♦D.W.
103k12129294
answered Apr 2 at 21:10
D.W.♦D.W.
103k12129294
answered Apr 2 at 21:10
D.W.♦D.W.
103k12129294
103k12129294
add a comment |
add a comment |
$begingroup$
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.
answered Apr 2 at 21:35
JuhoJuho
15.8k54292
$endgroup$
add a comment |
$begingroup$
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.
answered Apr 2 at 21:35
JuhoJuho
15.8k54292
$endgroup$
add a comment |
$begingroup$
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.
answered Apr 2 at 21:35
JuhoJuho
15.8k54292
$endgroup$
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.
answered Apr 2 at 21:35
JuhoJuho
15.8k54292
answered Apr 2 at 21:35
JuhoJuho
15.8k54292
answered Apr 2 at 21:35
JuhoJuho
15.8k54292
answered Apr 2 at 21:35
JuhoJuho
15.8k54292
15.8k54292
add a comment |
add a comment |
$begingroup$
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.
answered Apr 2 at 22:08
EvilEvil
8,03142446
$endgroup$
add a comment |
$begingroup$
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.
answered Apr 2 at 22:08
EvilEvil
8,03142446
$endgroup$
add a comment |
$begingroup$
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.
answered Apr 2 at 22:08
EvilEvil
8,03142446
$endgroup$
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.
answered Apr 2 at 22:08
EvilEvil
8,03142446
answered Apr 2 at 22:08
EvilEvil
8,03142446
answered Apr 2 at 22:08
EvilEvil
8,03142446
answered Apr 2 at 22:08
EvilEvil
8,03142446
8,03142446
add a comment |
add a comment |
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