The Julian Francis Miller Award is given for important contributions to the algorithmic exploration and embodiment of evolution, development and/or learning.
Julian Francis Miller Award
Latest news
Summer School 2023
The SPECIES Summer School is looking for students interested in gaining evolutionary computation and general research work skills, networking with the school mentors and with other students and enjoying a nice stay by the Mediterranean! We specially encourage women and
SPECIES Scholarships 2023
Applications for the 2023 SPECIES Scholarships are now open. Find all the details in the Scholarships 2023 webpage.
Less-than-Three-Minute Video Challenge
The <3′ (or ❤️’) video challenge involves producing a less than three minute video, in one of these two categories: EvoStar category: describe your own research, or your latest EvoStar paper. SPECIES category: describe an evolutionary computation concept or issue.
Julian Francis Miller award 2023: Susan Stepney
Professor Susan Stepney has been awarded the 2023 Julian Francis Miller prize for her outstanding contributions to the algorithmic exploration and embodiment of evolution, development, and learning.
Upcoming conferences
EvoStar 2024
The 27th EvoStar conference will take place in Aberystwyth, Wales, United Kingdom, from 3 to 5 April 2024. Join us to discover the latest advances in Evolutionary Computation, meet old friends and/or make new ones. Check the latest news here.
GECCO 2023
The Genetic and Evolutionary Computation Conference (GECCO) 2023 will take place in Lisbon, Portugal, from 15th to 19th July 2023. The conference will be held in hybrid mode, with all events facilitating online participation. A great opportunity to publish and/or
EvoStar 2023
The 26th EvoStar conference will take place in Brno, Czech Republic from 12 to 14 April 2023. Join us to discover the latest advances in Evolutionary Computation, meet old friends and/or make new ones – in person or online! Check
GECCO 2022
The Genetic and Evolutionary Computation Conference (GECCO) 2022 will take place in Boston, United States of America, from 9th to 13th July 2022. The conference will be held in hybrid mode, with all events facilitating online participation. A great opportunity
EvoStar 2022
The 25th EvoStar conference will take place in Madrid, Spain, from 20 to 22 April 2022. Join us to discover the latest advances in Evolutionary Computation, meet old friends and/or make new ones – in person or online! Check the
Relevant Journals
Evolution, the new AI Revolution – Topical Issue of SN Computer Science Journal
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