The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.

1 Research products

Sort by

Relevance

arrow_drop_down

unfold_less

download

Energy Research
SI

On clarifying misconceptions when comparing variants of the Artificial Bee Colony Algorithm by offering a new implementation
descriptionPublicationkeyboard_double_arrow_right Article , Journal 2015Publisher:Elsevier BV
Authors: Shih-Hsi Liu; Marjan Mernik; Matej Črepinšek; Dervis Karaboga;
doi: 10.1016/j.ins.2014.08.040
doi: 10.1016/j.ins.2014.08.040
Artificial Bee Colony (ABC) is a Swarm Intelligence algorithm that has obtained meta-heuristic researchers' attention and favor over recent years. It comprises good balance between exploitation (employed bee phase and onlooker bee phase) and exploration (scout bee phase). As nowadays, more researchers are using ABC and its variants as a control group to perform comparisons, it is crucial that comparisons with other algorithms are fair. This paper points to some misapprehensions when comparing meta-heuristic algorithms based on iterations (generations or cycles) with special emphasis on ABC. We hope that through our findings this paper can be treated as a beacon to remind researchers to learn from these mistakes.
Information Sciencesarrow_drop_down
Information Sciences
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
Information Sciences
Journal
Data sources: Microsoft Academic Graph
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
All Research products
arrow_drop_down
<script type="text/javascript">  </script>
COPY SCRIPT
For further information contact us at helpdesk@openaire.eu
Access Routes
bronze
212
citations 212
popularity Top 1%
influence Top 1%
impulse Top 1%
Powered by BIP!
more_vert
Information Sciencesarrow_drop_down
Information Sciences
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
Information Sciences
Journal
Data sources: Microsoft Academic Graph
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
All Research products
arrow_drop_down
<script type="text/javascript">  </script>
COPY SCRIPT
For further information contact us at helpdesk@openaire.eu

The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.

1 Research products

download

On clarifying misconceptions when comparing variants of the Artificial Bee Colony Algorithm by offering a new implementation
descriptionPublicationkeyboard_double_arrow_right Article , Journal 2015Publisher:Elsevier BV
Authors: Shih-Hsi Liu; Marjan Mernik; Matej Črepinšek; Dervis Karaboga;
doi: 10.1016/j.ins.2014.08.040
doi: 10.1016/j.ins.2014.08.040
Artificial Bee Colony (ABC) is a Swarm Intelligence algorithm that has obtained meta-heuristic researchers' attention and favor over recent years. It comprises good balance between exploitation (employed bee phase and onlooker bee phase) and exploration (scout bee phase). As nowadays, more researchers are using ABC and its variants as a control group to perform comparisons, it is crucial that comparisons with other algorithms are fair. This paper points to some misapprehensions when comparing meta-heuristic algorithms based on iterations (generations or cycles) with special emphasis on ABC. We hope that through our findings this paper can be treated as a beacon to remind researchers to learn from these mistakes.
Information Sciencesarrow_drop_down
Information Sciences
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
Information Sciences
Journal
Data sources: Microsoft Academic Graph
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
All Research products
arrow_drop_down
<script type="text/javascript">  </script>
COPY SCRIPT
For further information contact us at helpdesk@openaire.eu
Access Routes
bronze
212
citations 212
popularity Top 1%
influence Top 1%
impulse Top 1%
Powered by BIP!
more_vert
Information Sciencesarrow_drop_down
Information Sciences
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
Information Sciences
Journal
Data sources: Microsoft Academic Graph
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
All Research products
arrow_drop_down
<script type="text/javascript">  </script>
COPY SCRIPT
For further information contact us at helpdesk@openaire.eu

Filters

Access

Type

Year range

Field of Science

Country

Source

Research community

Energy Research
SI

On clarifying misconceptions when comparing variants of the Artificial Bee Colony Algorithm by offering a new implementation

On clarifying misconceptions when comparing variants of the Artificial Bee Colony Algorithm by offering a new implementation

Searching Fields	Terms
Author ORCID arrow_drop_down is arrow_drop_down

	citations	212
	popularity	Top 1%
	influence	Top 1%
	impulse	Top 1%

	citations	212
	popularity	Top 1%
	influence	Top 1%
	impulse	Top 1%

Filters

Access

Type

Year range

Field of Science

Country

Source

Research community

Loading

Energy Research SI close

On clarifying misconceptions when comparing variants of the Artificial Bee Colony Algorithm by offering a new implementation

Loading

On clarifying misconceptions when comparing variants of the Artificial Bee Colony Algorithm by offering a new implementation

Energy Research
SI