The GP Bibliography
The bibliography is part of the Collection of Computer Science Bibliographies, maintained and managed by W.B.Langdon and Tao Chen, and the single largest resource for Genetic Programming literature, research, and code review in the world. The Bibliography offers an extensive search 11,000+ entries.
Evolutionary Computation is an MIT Press Journal, for paper submission and review.
Genetic Programming and Evolvable Machines
Edited by Lee Spector, published through Springer
The journal of Genetic Programming and Evolvable Machines is devoted to reporting innovative and significant progress in automatic evolution of software and hardware. Methods for artificial evolution of active components, such as programs or machines, are rapidly developing branches of adaptive computation and adaptive engineering. They entail the development, evaluation and application of methods that mirror the process of neo-Darwinian evolution and produce as a result computational expressions such as algorithms or machines such as mechanical or electronic devices that actively process environmental information and transform their environment.
The IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (TEVC), published six times a year, publishes archival quality original papers in evolutionary computation and related areas including nature-inspired algorithms, population-based methods, and optimization where selection and variation are integral, and hybrid systems where these paradigms are combined. Purely theoretical papers are considered as are application papers that provide general insights into these areas of computation.
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