有源元件的人工進化方法是自適應(yīng)計算和自適應(yīng)工程的快速發(fā)展。他們需要發(fā)展、評估和應(yīng)用反映新達爾文主義進化過程的方法。遺傳編程和可進化機器報告了軟件和硬件自動進化的創(chuàng)新和重大進展。它以理論和應(yīng)用論文為特色，涵蓋硬件實現(xiàn)、人工生命、分子計算和緊急計算技術(shù)。除了其主要主題外，該雜志還涵蓋了相關(guān)主題，如具有可變基因組的進化算法、程序誘導(dǎo)的替代方法、基于胚胎學(xué)的工程系統(tǒng)開發(fā)方法、形態(tài)發(fā)生或其他受適應(yīng)性自然系統(tǒng)啟發(fā)的技術(shù)。

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.