Evolutionary multiobjective optimization: open research areas and some challenges lying ahead

Abstract Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years. However, and in spite of the maturity of this field, there are still several important challenges lying ahead. This paper provides a s...
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Autor*in:	Coello Coello, Carlos A. [verfasserIn] González Brambila, Silvia [verfasserIn] Figueroa Gamboa, Josué [verfasserIn] Castillo Tapia, Ma Guadalupe [verfasserIn] Hernández Gómez, Raquel [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Pythagorean fuzzy value Pythagorean fuzzy sets Similarity

Anmerkung:	© The Author(s) 2019

Übergeordnetes Werk:	Enthalten in: Complex & intelligent systems - Springer International Publishing, 2015, 6(2019), 2 vom: 19. Juni, Seite 221-236
Übergeordnetes Werk:	volume:6 ; year:2019 ; number:2 ; day:19 ; month:06 ; pages:221-236

Links:	Volltext

DOI / URN:	10.1007/s40747-019-0113-4

Katalog-ID:	SPR040183084

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spelling	10.1007/s40747-019-0113-4 doi (DE-627)SPR040183084 (SPR)s40747-019-0113-4-e DE-627 ger DE-627 rakwb eng 004 VZ Coello Coello, Carlos A. verfasserin (orcid)0000-0002-8435-680X aut Evolutionary multiobjective optimization: open research areas and some challenges lying ahead 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years. However, and in spite of the maturity of this field, there are still several important challenges lying ahead. This paper provides a short description of some of them, with a particular focus on open research areas, rather than on specific research topics or problems. The main aim of this paper is to motivate researchers and students to develop research in these areas, as this will contribute to maintaining this discipline active during the next few years. Pythagorean fuzzy value (dpeaa)DE-He213 Pythagorean fuzzy sets (dpeaa)DE-He213 Similarity (dpeaa)DE-He213 González Brambila, Silvia verfasserin aut Figueroa Gamboa, Josué verfasserin aut Castillo Tapia, Ma Guadalupe verfasserin aut Hernández Gómez, Raquel verfasserin aut Enthalten in Complex & intelligent systems Springer International Publishing, 2015 6(2019), 2 vom: 19. Juni, Seite 221-236 (DE-627)835589269 (DE-600)2834740-7 2198-6053 nnns volume:6 year:2019 number:2 day:19 month:06 pages:221-236 https://dx.doi.org/10.1007/s40747-019-0113-4 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2019 2 19 06 221-236
allfields_unstemmed	10.1007/s40747-019-0113-4 doi (DE-627)SPR040183084 (SPR)s40747-019-0113-4-e DE-627 ger DE-627 rakwb eng 004 VZ Coello Coello, Carlos A. verfasserin (orcid)0000-0002-8435-680X aut Evolutionary multiobjective optimization: open research areas and some challenges lying ahead 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years. However, and in spite of the maturity of this field, there are still several important challenges lying ahead. This paper provides a short description of some of them, with a particular focus on open research areas, rather than on specific research topics or problems. The main aim of this paper is to motivate researchers and students to develop research in these areas, as this will contribute to maintaining this discipline active during the next few years. Pythagorean fuzzy value (dpeaa)DE-He213 Pythagorean fuzzy sets (dpeaa)DE-He213 Similarity (dpeaa)DE-He213 González Brambila, Silvia verfasserin aut Figueroa Gamboa, Josué verfasserin aut Castillo Tapia, Ma Guadalupe verfasserin aut Hernández Gómez, Raquel verfasserin aut Enthalten in Complex & intelligent systems Springer International Publishing, 2015 6(2019), 2 vom: 19. Juni, Seite 221-236 (DE-627)835589269 (DE-600)2834740-7 2198-6053 nnns volume:6 year:2019 number:2 day:19 month:06 pages:221-236 https://dx.doi.org/10.1007/s40747-019-0113-4 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2019 2 19 06 221-236
allfieldsGer	10.1007/s40747-019-0113-4 doi (DE-627)SPR040183084 (SPR)s40747-019-0113-4-e DE-627 ger DE-627 rakwb eng 004 VZ Coello Coello, Carlos A. verfasserin (orcid)0000-0002-8435-680X aut Evolutionary multiobjective optimization: open research areas and some challenges lying ahead 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years. However, and in spite of the maturity of this field, there are still several important challenges lying ahead. This paper provides a short description of some of them, with a particular focus on open research areas, rather than on specific research topics or problems. The main aim of this paper is to motivate researchers and students to develop research in these areas, as this will contribute to maintaining this discipline active during the next few years. Pythagorean fuzzy value (dpeaa)DE-He213 Pythagorean fuzzy sets (dpeaa)DE-He213 Similarity (dpeaa)DE-He213 González Brambila, Silvia verfasserin aut Figueroa Gamboa, Josué verfasserin aut Castillo Tapia, Ma Guadalupe verfasserin aut Hernández Gómez, Raquel verfasserin aut Enthalten in Complex & intelligent systems Springer International Publishing, 2015 6(2019), 2 vom: 19. Juni, Seite 221-236 (DE-627)835589269 (DE-600)2834740-7 2198-6053 nnns volume:6 year:2019 number:2 day:19 month:06 pages:221-236 https://dx.doi.org/10.1007/s40747-019-0113-4 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2019 2 19 06 221-236
allfieldsSound	10.1007/s40747-019-0113-4 doi (DE-627)SPR040183084 (SPR)s40747-019-0113-4-e DE-627 ger DE-627 rakwb eng 004 VZ Coello Coello, Carlos A. verfasserin (orcid)0000-0002-8435-680X aut Evolutionary multiobjective optimization: open research areas and some challenges lying ahead 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years. However, and in spite of the maturity of this field, there are still several important challenges lying ahead. This paper provides a short description of some of them, with a particular focus on open research areas, rather than on specific research topics or problems. The main aim of this paper is to motivate researchers and students to develop research in these areas, as this will contribute to maintaining this discipline active during the next few years. Pythagorean fuzzy value (dpeaa)DE-He213 Pythagorean fuzzy sets (dpeaa)DE-He213 Similarity (dpeaa)DE-He213 González Brambila, Silvia verfasserin aut Figueroa Gamboa, Josué verfasserin aut Castillo Tapia, Ma Guadalupe verfasserin aut Hernández Gómez, Raquel verfasserin aut Enthalten in Complex & intelligent systems Springer International Publishing, 2015 6(2019), 2 vom: 19. Juni, Seite 221-236 (DE-627)835589269 (DE-600)2834740-7 2198-6053 nnns volume:6 year:2019 number:2 day:19 month:06 pages:221-236 https://dx.doi.org/10.1007/s40747-019-0113-4 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2019 2 19 06 221-236
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source	Enthalten in Complex & intelligent systems 6(2019), 2 vom: 19. Juni, Seite 221-236 volume:6 year:2019 number:2 day:19 month:06 pages:221-236
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author	Coello Coello, Carlos A.
spellingShingle	Coello Coello, Carlos A. ddc 004 misc Pythagorean fuzzy value misc Pythagorean fuzzy sets misc Similarity Evolutionary multiobjective optimization: open research areas and some challenges lying ahead
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title	Evolutionary multiobjective optimization: open research areas and some challenges lying ahead
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title_sort	evolutionary multiobjective optimization: open research areas and some challenges lying ahead
title_auth	Evolutionary multiobjective optimization: open research areas and some challenges lying ahead
abstract	Abstract Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years. However, and in spite of the maturity of this field, there are still several important challenges lying ahead. This paper provides a short description of some of them, with a particular focus on open research areas, rather than on specific research topics or problems. The main aim of this paper is to motivate researchers and students to develop research in these areas, as this will contribute to maintaining this discipline active during the next few years. © The Author(s) 2019
abstractGer	Abstract Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years. However, and in spite of the maturity of this field, there are still several important challenges lying ahead. This paper provides a short description of some of them, with a particular focus on open research areas, rather than on specific research topics or problems. The main aim of this paper is to motivate researchers and students to develop research in these areas, as this will contribute to maintaining this discipline active during the next few years. © The Author(s) 2019
abstract_unstemmed	Abstract Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years. However, and in spite of the maturity of this field, there are still several important challenges lying ahead. This paper provides a short description of some of them, with a particular focus on open research areas, rather than on specific research topics or problems. The main aim of this paper is to motivate researchers and students to develop research in these areas, as this will contribute to maintaining this discipline active during the next few years. © The Author(s) 2019
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title_short	Evolutionary multiobjective optimization: open research areas and some challenges lying ahead
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author2	González Brambila, Silvia Figueroa Gamboa, Josué Castillo Tapia, Ma Guadalupe Hernández Gómez, Raquel
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Evolutionary multiobjective optimization: open research areas and some challenges lying ahead

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