Genetic Programming and Evolvable Machines

有源元件的人工进化方法是自适应计算和自适应工程的快速发展。他们需要发展、评估和应用反映新达尔文主义进化过程的方法。遗传编程和可进化机器报告了软件和硬件自动进化的创新和重大进展。它以理论和应用论文为特色，涵盖硬件实现、人工生命、分子计算和紧急计算技术。除了其主要主题外，该杂志还涵盖了相关主题，如具有可变基因组的进化算法、程序诱导的替代方法、基于胚胎学的工程系统开发方法、形态发生或其他受适应性自然系统启发的技术。

Methods for artificial evolution of active components 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. Genetic Programming and Evolvable Machines reports innovative and significant progress in automatic evolution of software and hardware. It features both theoretical and application papers and covers hardware implementations, artificial life, molecular computing and emergent computation techniques.In addition to its main topics, the journal covers related topics such as evolutionary algorithms with variable-size genomes, alternate methods of program induction, approaches to engineering systems development based on embryology, morphogenesis or other techniques inspired by adaptive natural systems.