25 years after the IEEE Expert Special Issue edited by Peter Angeline, with the title “Evolution Revolution”, it is about time to proudly assert that Evolution is the AI Revolution. We take this opportunity to announce the Topical Issue Evolution,
Special issue of the GPEM journal: Integrating numerical optimization methods with genetic programming
Editors: Anna Esparcia-Alcázar & Leonardo Trujillo https://link.springer.com/article/10.1007/s10710-020-09381-6 The two papers contained in this special section give a complementary view on how GP can be hybridized with numerical optimization methods and problems. On the one hand, by enhancing GP with powerful
IEEE TEVC Special Issue: Evolutionary Computation Meets Deep Learning
IEEE Transactions on Evolutionary Computation Special Issue on “Evolutionary Computation Meets Deep Learning”. The goal of this Special Issue is to investigate both the new theories and methods on how deep learning can be achieved with different evolutionary computation algorithms and how
Evolutionary Computation
Evolutionary Computation is the leading journal in its field. It provides an international forum for facilitating and enhancing the exchange of information among researchers involved in both the theoretical and practical aspects of computational systems drawing their inspiration from nature, with
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation 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
Genetic Programming and Evolvable Machines
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
Journal on Artificial Evolution and Applications
Journal of Artificial Evolution and Applications aims at being a reference for all researchers and practitioners who study the theory and application of methodologies pertaining to Evolutionary Computation and related fields. Original contributions are sought describing recent achievements in Evolutionary
Memetic Computing
Memetic Computing aspires to serve as a focal publication where the latest results in Natural Computation, Artificial Intelligence, Machine Learning, Operational Research and Natural Sciences (e.g. cognitive, animal and insect’s behavior, etc.) are fuzzed together in novel ways in order
Swarm and Evolutionary Computation
Swarm and Evolutionary Computation is the first peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms. It publishes advanced, innovative and interdisciplinary research involving the
International Journal of Swarm Intelligence and Evolutionary Computation
International Journal of Swarm Intelligence and Evolutionary Computation (SIEC), provides the rapid monthly publication of articles in all areas related to Evolutionary programming, genetic algorithm, swarm optimization, swarm robotics, ant colony optimization, bacterial foraging algorithm.International Journal of Swarm Intelligence and