Genetic Programming Bibliography entries for Harald Koestler

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GP coauthors/coeditors: Reza Gholami Mahmoodabadi, Jonas Schmitt, Sebastian Kuckuk, Dominik Sobania, Franz Rothlauf,

Genetic Programming Articles by Harald Koestler

• Dominik Sobania and Jonas Schmitt and Harald Koestler and Franz Rothlauf. Genetic programming for iterative numerical methods. Genetic Programming and Evolvable Machines, 23(2):253-278, 2022. details

• Jonas Schmitt and Sebastian Kuckuk and Harald Koestler. EvoStencils: a grammar-based genetic programming approach for constructing efficient geometric multigrid methods. Genetic Programming and Evolvable Machines, 22(4):511-537, 2021. Special Issue: Highlights of Genetic Programming 2020 Events. details

Genetic Programming conference papers by Harald Koestler

• Jonas Schmitt and Harald Koestler. Evolving Generalizable Multigrid-Based Helmholtz Preconditioners with Grammar-Guided Genetic Programming. In Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 1009-1018, Boston, USA, 2022. Association for Computing Machinery. Winner Gold Award 2022 HUMIES. details

• Jonas Schmitt and Sebastian Kuckuk and Harald Koestler. Constructing Efficient Multigrid Solvers with Genetic Programming. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 1012-1020, internet, 2020. Association for Computing Machinery. details

• Reza Gholami Mahmoodabadi and Harald Koestler. Genetic Programming Meets Linear Algebra: How Genetic Programming Can Be Used to Find Improved Iterative Numerical Methods. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1403-1406, Berlin, Germany, 2017. ACM. details