Jörn Grahl

发表

Adapted Maximum-Likelihood Gaussian Models for Numerical Optimization with Continuous EDAs

P. Bosman, Jörn Grahl, D. Thierens, 2007 .

The correlation-triggered adaptive variance scaling IDEA

Franz Rothlauf, Peter A. N. Bosman, Jörn Grahl, 2006, GECCO.

Enhancing the Performance of Maximum-Likelihood Gaussian EDAs Using Anticipated Mean Shift

Dirk Thierens, Peter A. N. Bosman, Jörn Grahl, 2008, PPSN.

Behaviour of UMDAc algorithm with truncation selection on monotonous functions

Jörn Grahl, S. Minner, Franz Rothlauf, 2005 .

0 1 / 2 0 0 5 Behaviour of the UMDA c algorithm with truncation selection on monotone functions

Jörn Grahl, S. Minner, Franz Rothlauf, 2005 .

An analysis of iterated density estimation and sampling in the UMDA c algorithm

Stefan Minner, Jörn Grahl, Jörn Grahl, 2022 .

Meta-heuristics for placing strategic safety stock in multi-echelon inventory with differentiated service times

Jörn Grahl, S. Minner, Daniel Dittmar, 2014, Annals of Operations Research.

Problem Complexity in Parallel Problem Solving pdf

Franz Rothlauf, Jörn Grahl, Sebastian Herrmann, 2014, ArXiv.

Learning Structure Illuminates Black Boxes - An Introduction to Estimation of Distribution Algorithms

Peter A. N. Bosman, Stefan Minner, Jörn Grahl, 2008, Advances in Metaheuristics for Hard Optimization.

SDR: a better trigger for adaptive variance scaling in normal EDAs

Franz Rothlauf, Peter A. N. Bosman, Jörn Grahl, 2007, GECCO '07.

Estimation of distribution algorithms in logistics : Analysis, design, and application

Jörn Grahl, Jörn Grahl, 2008 .

Scalability of using Restricted Boltzmann Machines for combinatorial optimization

Malte Probst, Franz Rothlauf, Jörn Grahl, 2014, Eur. J. Oper. Res..

rt 1 0 / 2 0 0 6 Learning structure illuminates black boxes – an introduction into Estimation of Distribution Algorithms

Peter A. N. Bosman, Stefan Minner, Jörn Grahl, 2006 .

Cognitive Challenges in Human-Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation

Alok Gupta, Jörn Grahl, A. Fügener, 2021, Inf. Syst. Res..

Cognitive challenges in human-AI collaboration: Investigating the path towards productive delegation

Alok Gupta, Jörn Grahl, A. Fügener, 2019 .

Collaboration and Delegation between Humans and AI: An Experimental Investigation of the Future of Work

Wolfgang Ketter, Andreas Fügener, Jörn Grahl, 2019, SSRN Electronic Journal.

The effects of state-dependent human behavior on the design of a serial line

Franz Rothlauf, Jörn Grahl, Irina Heimbach, 2012 .

Fitness Landscape Analysis of Dynamic Multi-Product Lot-Sizing Problems with Limited Storage

Stefan Minner, Jörn Grahl, Alexander Radtke, 2007 .

Benchmarking Parameter-Free AMaLGaM on Functions With and Without Noise

Dirk Thierens, Peter A. N. Bosman, Jörn Grahl, 2013, Evolutionary Computation.

AMaLGaM IDEAs in noiseless black-box optimization benchmarking

Dirk Thierens, Peter A. N. Bosman, Jörn Grahl, 2009, GECCO '09.

Matching inductive search bias and problem structure in continuous Estimation-of-Distribution Algorithms

Peter A. N. Bosman, Jörn Grahl, P. Bosman, 2008, Eur. J. Oper. Res..

Decomposition of Dynamic Single-Product and Multi-product Lotsizing Problems and Scalability of EDAs

Franz Rothlauf, Stefan Minner, Jörn Grahl, 2008 .

The effects of state-dependent human behavior on the design of a serial line

Jörn Grahl, Franz Rothlauf, Irina Heimbach, 2012, Zeitschrift für Betriebswirtschaft.

How do likes influence revenue? A randomized controlled field experiment

Benjamin M. Abdel-Karim, Cristina A. Mihale-Wilson, Jörn Grahl, 2023, Journal of Business Research.

How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment

Jörn Grahl, O. Hinz, Xitong Li, 2021, Inf. Syst. Res..

The Impact of User-Generated Content on Sales : A Randomized Field Experiment

Jörn Grahl, Franz Rothlauf, 2014 .

HOW DO SOCIAL RECOMMENDATIONS INFLUENCE SHOPPING BEHAVIOR ? A FIELD EXPERIMENT

Franz Rothlauf, Oliver Hinz, Jörn Grahl, 2013 .

Will Humans-in-the-Loop Become Borgs? Merits and Pitfalls of Working with AI

Wolfgang Ketter, Andreas Fügener, Jörn Grahl, 2021, MIS Q..

Linkage in warehouse location problems: The numbering effect and its influence on evolutionary algorithms

Stefan Minner, Tobias Weiblen, Jörn Grahl, 2007 .

AMaLGaM IDEAs in noisy black-box optimization benchmarking

P. Bosman, Jörn Grahl, D. Thierens, 2009, GECCO '09.

A Problem-Adjusted Genetic Algorithm for Flexibility Design

Daniele Vigo, Jörn Grahl, Michael Schneider, 2013 .

Collaboration Networks in the Music Industry pdf

Jörn Grahl, Pascal Budner, Jörn Grahl, 2016, ArXiv.