A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization

X Zhang; Y Tian; Y Jin

doi:10.1109/TEVC.2014.2378512

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A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization

Journal article

Peer reviewed

A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization

X Zhang, Y Tian and Y Jin

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, Vol.19(6), pp.761-776

01/12/2015

DOI: https://doi.org/10.1109/TEVC.2014.2378512

Abstract

Science & Technology

Technology

Computer Science

Artificial Intelligence

Computer Science

Theory & Methods

Computer Science

Convergence

diversity

evolutionary multiobjective optimization

hypervolume (HV)

knee point

many-objective optimization

MULTIOBJECTIVE OPTIMIZATION

HYPERVOLUME

CONSTRAINTS

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Title: A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization
Creators: X Zhang
Y Tian
Y Jin
Publication Details: IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, Vol.19(6), pp.761-776
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Date published: 01/12/2015
Date submitted: 12/03/2016
Identifiers: 99511890202346
Academic Unit: University of Surrey
Language: English
Resource Type: Journal article

A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization

Abstract

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