Multi-objective probability collectives

Antony Waldock; David Corne

doi:10.1007/978-3-642-12239-2-48

Multi-objective probability collectives

Antony Waldock, David Corne

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

We describe and evaluate a multi-objective optimisation (MOO) algorithm that works within the Probability Collectives (PC) optimisation framework. PC is an alternative approach to optimization where the optimization process focusses on finding an ideal distribution over the solution space rather than an ideal solution. We describe one way in which MOO can be done in the PC framework, via using a Pareto-based ranking strategy as a single objective. We partially evaluate this via testing on a number of problems, and compare the results with state of the art alternatives. We find that this first multi-objective probability collectives (MOPC) approach performs competitively, indicating both clear promise, and clear room for improvement. © 2010 Springer-Verlag Berlin Heidelberg.

Original language	English
Title of host publication	Applications of Evolutionary Computation - EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Proceedings
Pages	461-470
Number of pages	10
Volume	6024 LNCS
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-12239-2-48
Publication status	Published - 2010
Event	EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, EvoApplicatons 2010 - Istanbul, Turkey Duration: 7 Apr 2010 → 9 Apr 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6024 LNCS
ISSN (Print)	0302-9743

Conference

Conference	EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, EvoApplicatons 2010
Country/Territory	Turkey
City	Istanbul
Period	7/04/10 → 9/04/10

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10.1007/978-3-642-12239-2-48

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Waldock, A., & Corne, D. (2010). Multi-objective probability collectives. In Applications of Evolutionary Computation - EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Proceedings (PART 1 ed., Vol. 6024 LNCS, pp. 461-470). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6024 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-12239-2-48

Waldock, Antony ; Corne, David. / Multi-objective probability collectives. Applications of Evolutionary Computation - EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Proceedings. Vol. 6024 LNCS PART 1. ed. 2010. pp. 461-470 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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abstract = "We describe and evaluate a multi-objective optimisation (MOO) algorithm that works within the Probability Collectives (PC) optimisation framework. PC is an alternative approach to optimization where the optimization process focusses on finding an ideal distribution over the solution space rather than an ideal solution. We describe one way in which MOO can be done in the PC framework, via using a Pareto-based ranking strategy as a single objective. We partially evaluate this via testing on a number of problems, and compare the results with state of the art alternatives. We find that this first multi-objective probability collectives (MOPC) approach performs competitively, indicating both clear promise, and clear room for improvement. {\textcopyright} 2010 Springer-Verlag Berlin Heidelberg.",

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Waldock, A & Corne, D 2010, Multi-objective probability collectives. in Applications of Evolutionary Computation - EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Proceedings. PART 1 edn, vol. 6024 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6024 LNCS, pp. 461-470, EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, EvoApplicatons 2010, Istanbul, Turkey, 7/04/10. https://doi.org/10.1007/978-3-642-12239-2-48

Multi-objective probability collectives. / Waldock, Antony; Corne, David.
Applications of Evolutionary Computation - EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Proceedings. Vol. 6024 LNCS PART 1. ed. 2010. p. 461-470 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6024 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Corne, David

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AB - We describe and evaluate a multi-objective optimisation (MOO) algorithm that works within the Probability Collectives (PC) optimisation framework. PC is an alternative approach to optimization where the optimization process focusses on finding an ideal distribution over the solution space rather than an ideal solution. We describe one way in which MOO can be done in the PC framework, via using a Pareto-based ranking strategy as a single objective. We partially evaluate this via testing on a number of problems, and compare the results with state of the art alternatives. We find that this first multi-objective probability collectives (MOPC) approach performs competitively, indicating both clear promise, and clear room for improvement. © 2010 Springer-Verlag Berlin Heidelberg.

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VL - 6024 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 461

EP - 470

BT - Applications of Evolutionary Computation - EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Proceedings

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Y2 - 7 April 2010 through 9 April 2010

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Waldock A, Corne D. Multi-objective probability collectives. In Applications of Evolutionary Computation - EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Proceedings. PART 1 ed. Vol. 6024 LNCS. 2010. p. 461-470. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-12239-2-48

Multi-objective probability collectives

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