Amanote Research

Amanote Research

    RegisterSign In

Discrepancy-Based Evolutionary Diversity Optimization

doi 10.1145/3205455.3205532
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2018

Authors
Aneta NeumannWanru GaoCarola DoerrFrank NeumannMarkus Wagner
Publisher

ACM Press


Related search

Reliability-Based Optimization Using Evolutionary Algorithms

IEEE Transactions on Evolutionary Computation
Theoretical Computer ScienceComputational TheorySoftwareMathematics
2009English

Semidefinite Optimization in Discrepancy Theory

Mathematical Programming, Series B
MathematicsSoftware
2012English

Evolutionary Optimization

2012English

Low Discrepancy Initialized Particle Swarm Optimization for Solving Constrained Optimization Problems

Fundamenta Informaticae
Information SystemsAlgebraNumber TheoryMathematicsComputational TheoryTheoretical Computer Science
2009English

Leveraging Indicator-Based Ensemble Selection in Evolutionary Multiobjective Optimization Algorithms

2012English

Boosting Indicator-Based Selection Operators for Evolutionary Multiobjective Optimization Algorithms

2011English

Decision Support Through Intelligent Agent Based Simulation and Multiple Goal Based Evolutionary Optimization

Intelligent Information Management
2017English

Evolutionary Biology: Infection Elevates Diversity

Nature
Multidisciplinary
2015English

Evolutionary Multi-Objective Optimization Based Ensemble Autoencoders for Image Outlier Detection

Neurocomputing
Computer Science ApplicationsArtificial IntelligenceCognitive Neuroscience
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy