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GECCO
2009
Springer
166views Optimization» more  GECCO 2009»
14 years 3 months ago
Genetic programming in the wild: evolving unrestricted bytecode
We describe a methodology for evolving Java bytecode, enabling the evolution of extant, unrestricted Java programs, or programs in other languages that compile to Java bytecode. B...
Michael Orlov, Moshe Sipper
ICGA
1997
126views Optimization» more  ICGA 1997»
13 years 10 months ago
Evolution of Graph-Like Programs with Parallel Distributed Genetic Programming
Parallel Distributed Genetic Programming (PDGP) is a new form of Genetic Programming (GP) suitable for the development of programs with a high degree of parallelism. Programs are ...
Riccardo Poli
EUROGP
2004
Springer
106views Optimization» more  EUROGP 2004»
14 years 1 months ago
The Evolution of Concurrent Control Software Using Genetic Programming
Despite considerable progress in GP over the past 10 years, there are many outstanding challenges that need to be addressed before it will be widely deployed for developing useful ...
John Hart, Martin J. Shepperd
EUROGP
1999
Springer
137views Optimization» more  EUROGP 1999»
14 years 25 days ago
Evolving Controllers for Autonomous Agents Using Genetically Programmed Networks
– This article presents a new approach to the evolution of controllers for autonomous agents. We propose the evolution of a connectionist structure where each node has an associa...
Arlindo Silva, Ana Neves, Ernesto Costa
EUROGP
2009
Springer
125views Optimization» more  EUROGP 2009»
14 years 3 months ago
The Role of Population Size in Rate of Evolution in Genetic Programming
Abstract. Population size is a critical parameter that affects the performance of an Evolutionary Computation model. A variable population size scheme is considered potentially be...
Ting Hu, Wolfgang Banzhaf