An analysis of decomposition approaches in multi-objectivization via segmentation
Highlights • Contrary to prior evidence when studying the TSP, spatial decompositions can be as competitive as adaptive approaches. • Decomposition methods that isolate cities within and between neighborhoods are most successful at guiding the search procedure. • New decompositions of the TSP are an...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lochtefeld, Darrell F. [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2014 |
|---|
| Schlagwörter: |
Multi-objectivization Via Decomposition (MVD) Multi-Objectivization via Progressive Segmentation (MOPS) |
|---|
| Umfang: |
14 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Atomic collapse in graphene quantum dots in a magnetic field - Eren, I. ELSEVIER, 2022, the official journal of the World Federation on Soft Computing (WFSC), Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:18 ; year:2014 ; pages:209-222 ; extent:14 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.asoc.2014.01.005 |
|---|
| Katalog-ID: |
ELV027961559 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV027961559 | ||
| 003 | DE-627 | ||
| 005 | 20230623191950.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 180603s2014 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.asoc.2014.01.005 |2 doi | |
| 028 | 5 | 2 | |a GBVA2014007000001.pica |
| 035 | |a (DE-627)ELV027961559 | ||
| 035 | |a (ELSEVIER)S1568-4946(14)00006-4 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | |a 004 | |
| 082 | 0 | 4 | |a 004 |q DE-600 |
| 082 | 0 | 4 | |a 540 |a 530 |q VZ |
| 084 | |a 33.00 |2 bkl | ||
| 100 | 1 | |a Lochtefeld, Darrell F. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a An analysis of decomposition approaches in multi-objectivization via segmentation |
| 264 | 1 | |c 2014 | |
| 300 | |a 14 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a Highlights • Contrary to prior evidence when studying the TSP, spatial decompositions can be as competitive as adaptive approaches. • Decomposition methods that isolate cities within and between neighborhoods are most successful at guiding the search procedure. • New decompositions of the TSP are analyzed and some are shown to perform better than the previous best methods. • A progressive multi-objectivization method is proposed and shown to provide competitive performance regardless of computational budget. | ||
| 650 | 7 | |a Multi-objectivization Via Decomposition (MVD) |2 Elsevier | |
| 650 | 7 | |a Multi-Objectivization via Progressive Segmentation (MOPS) |2 Elsevier | |
| 650 | 7 | |a Multi-Objectivization via Segmentation (MOS) |2 Elsevier | |
| 650 | 7 | |a Traveling Salesman Problem (TSP) |2 Elsevier | |
| 700 | 1 | |a Ciarallo, Frank W. |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Eren, I. ELSEVIER |t Atomic collapse in graphene quantum dots in a magnetic field |d 2022 |d the official journal of the World Federation on Soft Computing (WFSC) |g Amsterdam [u.a.] |w (DE-627)ELV007866305 |
| 773 | 1 | 8 | |g volume:18 |g year:2014 |g pages:209-222 |g extent:14 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.asoc.2014.01.005 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 936 | b | k | |a 33.00 |j Physik: Allgemeines |q VZ |
| 951 | |a AR | ||
| 952 | |d 18 |j 2014 |h 209-222 |g 14 | ||
| 953 | |2 045F |a 004 | ||
| author_variant |
d f l df dfl |
|---|---|
| matchkey_str |
lochtefelddarrellfciarallofrankw:2014----:nnlssfeopstoapoceimlibetvzt |
| hierarchy_sort_str |
2014 |
| bklnumber |
33.00 |
| publishDate |
2014 |
| allfields |
10.1016/j.asoc.2014.01.005 doi GBVA2014007000001.pica (DE-627)ELV027961559 (ELSEVIER)S1568-4946(14)00006-4 DE-627 ger DE-627 rakwb eng 004 004 DE-600 540 530 VZ 33.00 bkl Lochtefeld, Darrell F. verfasserin aut An analysis of decomposition approaches in multi-objectivization via segmentation 2014 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Highlights • Contrary to prior evidence when studying the TSP, spatial decompositions can be as competitive as adaptive approaches. • Decomposition methods that isolate cities within and between neighborhoods are most successful at guiding the search procedure. • New decompositions of the TSP are analyzed and some are shown to perform better than the previous best methods. • A progressive multi-objectivization method is proposed and shown to provide competitive performance regardless of computational budget. Multi-objectivization Via Decomposition (MVD) Elsevier Multi-Objectivization via Progressive Segmentation (MOPS) Elsevier Multi-Objectivization via Segmentation (MOS) Elsevier Traveling Salesman Problem (TSP) Elsevier Ciarallo, Frank W. oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:18 year:2014 pages:209-222 extent:14 https://doi.org/10.1016/j.asoc.2014.01.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 18 2014 209-222 14 045F 004 |
| spelling |
10.1016/j.asoc.2014.01.005 doi GBVA2014007000001.pica (DE-627)ELV027961559 (ELSEVIER)S1568-4946(14)00006-4 DE-627 ger DE-627 rakwb eng 004 004 DE-600 540 530 VZ 33.00 bkl Lochtefeld, Darrell F. verfasserin aut An analysis of decomposition approaches in multi-objectivization via segmentation 2014 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Highlights • Contrary to prior evidence when studying the TSP, spatial decompositions can be as competitive as adaptive approaches. • Decomposition methods that isolate cities within and between neighborhoods are most successful at guiding the search procedure. • New decompositions of the TSP are analyzed and some are shown to perform better than the previous best methods. • A progressive multi-objectivization method is proposed and shown to provide competitive performance regardless of computational budget. Multi-objectivization Via Decomposition (MVD) Elsevier Multi-Objectivization via Progressive Segmentation (MOPS) Elsevier Multi-Objectivization via Segmentation (MOS) Elsevier Traveling Salesman Problem (TSP) Elsevier Ciarallo, Frank W. oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:18 year:2014 pages:209-222 extent:14 https://doi.org/10.1016/j.asoc.2014.01.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 18 2014 209-222 14 045F 004 |
| allfields_unstemmed |
10.1016/j.asoc.2014.01.005 doi GBVA2014007000001.pica (DE-627)ELV027961559 (ELSEVIER)S1568-4946(14)00006-4 DE-627 ger DE-627 rakwb eng 004 004 DE-600 540 530 VZ 33.00 bkl Lochtefeld, Darrell F. verfasserin aut An analysis of decomposition approaches in multi-objectivization via segmentation 2014 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Highlights • Contrary to prior evidence when studying the TSP, spatial decompositions can be as competitive as adaptive approaches. • Decomposition methods that isolate cities within and between neighborhoods are most successful at guiding the search procedure. • New decompositions of the TSP are analyzed and some are shown to perform better than the previous best methods. • A progressive multi-objectivization method is proposed and shown to provide competitive performance regardless of computational budget. Multi-objectivization Via Decomposition (MVD) Elsevier Multi-Objectivization via Progressive Segmentation (MOPS) Elsevier Multi-Objectivization via Segmentation (MOS) Elsevier Traveling Salesman Problem (TSP) Elsevier Ciarallo, Frank W. oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:18 year:2014 pages:209-222 extent:14 https://doi.org/10.1016/j.asoc.2014.01.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 18 2014 209-222 14 045F 004 |
| allfieldsGer |
10.1016/j.asoc.2014.01.005 doi GBVA2014007000001.pica (DE-627)ELV027961559 (ELSEVIER)S1568-4946(14)00006-4 DE-627 ger DE-627 rakwb eng 004 004 DE-600 540 530 VZ 33.00 bkl Lochtefeld, Darrell F. verfasserin aut An analysis of decomposition approaches in multi-objectivization via segmentation 2014 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Highlights • Contrary to prior evidence when studying the TSP, spatial decompositions can be as competitive as adaptive approaches. • Decomposition methods that isolate cities within and between neighborhoods are most successful at guiding the search procedure. • New decompositions of the TSP are analyzed and some are shown to perform better than the previous best methods. • A progressive multi-objectivization method is proposed and shown to provide competitive performance regardless of computational budget. Multi-objectivization Via Decomposition (MVD) Elsevier Multi-Objectivization via Progressive Segmentation (MOPS) Elsevier Multi-Objectivization via Segmentation (MOS) Elsevier Traveling Salesman Problem (TSP) Elsevier Ciarallo, Frank W. oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:18 year:2014 pages:209-222 extent:14 https://doi.org/10.1016/j.asoc.2014.01.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 18 2014 209-222 14 045F 004 |
| allfieldsSound |
10.1016/j.asoc.2014.01.005 doi GBVA2014007000001.pica (DE-627)ELV027961559 (ELSEVIER)S1568-4946(14)00006-4 DE-627 ger DE-627 rakwb eng 004 004 DE-600 540 530 VZ 33.00 bkl Lochtefeld, Darrell F. verfasserin aut An analysis of decomposition approaches in multi-objectivization via segmentation 2014 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Highlights • Contrary to prior evidence when studying the TSP, spatial decompositions can be as competitive as adaptive approaches. • Decomposition methods that isolate cities within and between neighborhoods are most successful at guiding the search procedure. • New decompositions of the TSP are analyzed and some are shown to perform better than the previous best methods. • A progressive multi-objectivization method is proposed and shown to provide competitive performance regardless of computational budget. Multi-objectivization Via Decomposition (MVD) Elsevier Multi-Objectivization via Progressive Segmentation (MOPS) Elsevier Multi-Objectivization via Segmentation (MOS) Elsevier Traveling Salesman Problem (TSP) Elsevier Ciarallo, Frank W. oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:18 year:2014 pages:209-222 extent:14 https://doi.org/10.1016/j.asoc.2014.01.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 18 2014 209-222 14 045F 004 |
| language |
English |
| source |
Enthalten in Atomic collapse in graphene quantum dots in a magnetic field Amsterdam [u.a.] volume:18 year:2014 pages:209-222 extent:14 |
| sourceStr |
Enthalten in Atomic collapse in graphene quantum dots in a magnetic field Amsterdam [u.a.] volume:18 year:2014 pages:209-222 extent:14 |
| format_phy_str_mv |
Article |
| bklname |
Physik: Allgemeines |
| institution |
findex.gbv.de |
| topic_facet |
Multi-objectivization Via Decomposition (MVD) Multi-Objectivization via Progressive Segmentation (MOPS) Multi-Objectivization via Segmentation (MOS) Traveling Salesman Problem (TSP) |
| dewey-raw |
004 |
| isfreeaccess_bool |
false |
| container_title |
Atomic collapse in graphene quantum dots in a magnetic field |
| authorswithroles_txt_mv |
Lochtefeld, Darrell F. @@aut@@ Ciarallo, Frank W. @@oth@@ |
| publishDateDaySort_date |
2014-01-01T00:00:00Z |
| hierarchy_top_id |
ELV007866305 |
| dewey-sort |
14 |
| id |
ELV027961559 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV027961559</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230623191950.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.asoc.2014.01.005</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2014007000001.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV027961559</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1568-4946(14)00006-4</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">004</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">540</subfield><subfield code="a">530</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">33.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lochtefeld, Darrell F.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">An analysis of decomposition approaches in multi-objectivization via segmentation</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">14</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Highlights • Contrary to prior evidence when studying the TSP, spatial decompositions can be as competitive as adaptive approaches. • Decomposition methods that isolate cities within and between neighborhoods are most successful at guiding the search procedure. • New decompositions of the TSP are analyzed and some are shown to perform better than the previous best methods. • A progressive multi-objectivization method is proposed and shown to provide competitive performance regardless of computational budget.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Multi-objectivization Via Decomposition (MVD)</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Multi-Objectivization via Progressive Segmentation (MOPS)</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Multi-Objectivization via Segmentation (MOS)</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Traveling Salesman Problem (TSP)</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ciarallo, Frank W.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Eren, I. ELSEVIER</subfield><subfield code="t">Atomic collapse in graphene quantum dots in a magnetic field</subfield><subfield code="d">2022</subfield><subfield code="d">the official journal of the World Federation on Soft Computing (WFSC)</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV007866305</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:18</subfield><subfield code="g">year:2014</subfield><subfield code="g">pages:209-222</subfield><subfield code="g">extent:14</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.asoc.2014.01.005</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">33.00</subfield><subfield code="j">Physik: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">18</subfield><subfield code="j">2014</subfield><subfield code="h">209-222</subfield><subfield code="g">14</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">004</subfield></datafield></record></collection>
|
| author |
Lochtefeld, Darrell F. |
| spellingShingle |
Lochtefeld, Darrell F. ddc 004 ddc 540 bkl 33.00 Elsevier Multi-objectivization Via Decomposition (MVD) Elsevier Multi-Objectivization via Progressive Segmentation (MOPS) Elsevier Multi-Objectivization via Segmentation (MOS) Elsevier Traveling Salesman Problem (TSP) An analysis of decomposition approaches in multi-objectivization via segmentation |
| authorStr |
Lochtefeld, Darrell F. |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV007866305 |
| format |
electronic Article |
| dewey-ones |
004 - Data processing & computer science 540 - Chemistry & allied sciences 530 - Physics |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
004 004 DE-600 540 530 VZ 33.00 bkl An analysis of decomposition approaches in multi-objectivization via segmentation Multi-objectivization Via Decomposition (MVD) Elsevier Multi-Objectivization via Progressive Segmentation (MOPS) Elsevier Multi-Objectivization via Segmentation (MOS) Elsevier Traveling Salesman Problem (TSP) Elsevier |
| topic |
ddc 004 ddc 540 bkl 33.00 Elsevier Multi-objectivization Via Decomposition (MVD) Elsevier Multi-Objectivization via Progressive Segmentation (MOPS) Elsevier Multi-Objectivization via Segmentation (MOS) Elsevier Traveling Salesman Problem (TSP) |
| topic_unstemmed |
ddc 004 ddc 540 bkl 33.00 Elsevier Multi-objectivization Via Decomposition (MVD) Elsevier Multi-Objectivization via Progressive Segmentation (MOPS) Elsevier Multi-Objectivization via Segmentation (MOS) Elsevier Traveling Salesman Problem (TSP) |
| topic_browse |
ddc 004 ddc 540 bkl 33.00 Elsevier Multi-objectivization Via Decomposition (MVD) Elsevier Multi-Objectivization via Progressive Segmentation (MOPS) Elsevier Multi-Objectivization via Segmentation (MOS) Elsevier Traveling Salesman Problem (TSP) |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
f w c fw fwc |
| hierarchy_parent_title |
Atomic collapse in graphene quantum dots in a magnetic field |
| hierarchy_parent_id |
ELV007866305 |
| dewey-tens |
000 - Computer science, knowledge & systems 540 - Chemistry 530 - Physics |
| hierarchy_top_title |
Atomic collapse in graphene quantum dots in a magnetic field |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV007866305 |
| title |
An analysis of decomposition approaches in multi-objectivization via segmentation |
| ctrlnum |
(DE-627)ELV027961559 (ELSEVIER)S1568-4946(14)00006-4 |
| title_full |
An analysis of decomposition approaches in multi-objectivization via segmentation |
| author_sort |
Lochtefeld, Darrell F. |
| journal |
Atomic collapse in graphene quantum dots in a magnetic field |
| journalStr |
Atomic collapse in graphene quantum dots in a magnetic field |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
000 - Computer science, information & general works 500 - Science |
| recordtype |
marc |
| publishDateSort |
2014 |
| contenttype_str_mv |
zzz |
| container_start_page |
209 |
| author_browse |
Lochtefeld, Darrell F. |
| container_volume |
18 |
| physical |
14 |
| class |
004 004 DE-600 540 530 VZ 33.00 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Lochtefeld, Darrell F. |
| doi_str_mv |
10.1016/j.asoc.2014.01.005 |
| dewey-full |
004 540 530 |
| title_sort |
an analysis of decomposition approaches in multi-objectivization via segmentation |
| title_auth |
An analysis of decomposition approaches in multi-objectivization via segmentation |
| abstract |
Highlights • Contrary to prior evidence when studying the TSP, spatial decompositions can be as competitive as adaptive approaches. • Decomposition methods that isolate cities within and between neighborhoods are most successful at guiding the search procedure. • New decompositions of the TSP are analyzed and some are shown to perform better than the previous best methods. • A progressive multi-objectivization method is proposed and shown to provide competitive performance regardless of computational budget. |
| abstractGer |
Highlights • Contrary to prior evidence when studying the TSP, spatial decompositions can be as competitive as adaptive approaches. • Decomposition methods that isolate cities within and between neighborhoods are most successful at guiding the search procedure. • New decompositions of the TSP are analyzed and some are shown to perform better than the previous best methods. • A progressive multi-objectivization method is proposed and shown to provide competitive performance regardless of computational budget. |
| abstract_unstemmed |
Highlights • Contrary to prior evidence when studying the TSP, spatial decompositions can be as competitive as adaptive approaches. • Decomposition methods that isolate cities within and between neighborhoods are most successful at guiding the search procedure. • New decompositions of the TSP are analyzed and some are shown to perform better than the previous best methods. • A progressive multi-objectivization method is proposed and shown to provide competitive performance regardless of computational budget. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U |
| title_short |
An analysis of decomposition approaches in multi-objectivization via segmentation |
| url |
https://doi.org/10.1016/j.asoc.2014.01.005 |
| remote_bool |
true |
| author2 |
Ciarallo, Frank W. |
| author2Str |
Ciarallo, Frank W. |
| ppnlink |
ELV007866305 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth |
| doi_str |
10.1016/j.asoc.2014.01.005 |
| up_date |
2024-07-06T17:35:04.708Z |
| _version_ |
1803851980823592960 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV027961559</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230623191950.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.asoc.2014.01.005</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2014007000001.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV027961559</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1568-4946(14)00006-4</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">004</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">540</subfield><subfield code="a">530</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">33.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lochtefeld, Darrell F.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">An analysis of decomposition approaches in multi-objectivization via segmentation</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">14</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Highlights • Contrary to prior evidence when studying the TSP, spatial decompositions can be as competitive as adaptive approaches. • Decomposition methods that isolate cities within and between neighborhoods are most successful at guiding the search procedure. • New decompositions of the TSP are analyzed and some are shown to perform better than the previous best methods. • A progressive multi-objectivization method is proposed and shown to provide competitive performance regardless of computational budget.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Multi-objectivization Via Decomposition (MVD)</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Multi-Objectivization via Progressive Segmentation (MOPS)</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Multi-Objectivization via Segmentation (MOS)</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Traveling Salesman Problem (TSP)</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ciarallo, Frank W.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Eren, I. ELSEVIER</subfield><subfield code="t">Atomic collapse in graphene quantum dots in a magnetic field</subfield><subfield code="d">2022</subfield><subfield code="d">the official journal of the World Federation on Soft Computing (WFSC)</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV007866305</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:18</subfield><subfield code="g">year:2014</subfield><subfield code="g">pages:209-222</subfield><subfield code="g">extent:14</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.asoc.2014.01.005</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">33.00</subfield><subfield code="j">Physik: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">18</subfield><subfield code="j">2014</subfield><subfield code="h">209-222</subfield><subfield code="g">14</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">004</subfield></datafield></record></collection>
|
| score |
7.401143 |