Could neural networks be considered metaheuristics?
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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
neural-networks
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$begingroup$
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
New contributor
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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
New contributor
$endgroup$
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
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asked 10 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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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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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
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3 Answers
3
active
oldest
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active
oldest
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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.
$endgroup$
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.
$endgroup$
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.
$endgroup$
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 9 hours ago
D.W.♦D.W.
103k12129293
103k12129293
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$begingroup$
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.
$endgroup$
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.
$endgroup$
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.
$endgroup$
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 8 hours ago
JuhoJuho
15.8k54292
15.8k54292
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$begingroup$
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.
$endgroup$
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.
$endgroup$
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.
$endgroup$
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 8 hours ago
EvilEvil
7,97142446
7,97142446
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Mntfr is a new contributor. Be nice, and check out our Code of Conduct.
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