the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings
Latest news
SPECIES is excited to announce up to three scholarships for current research students and recent PhD graduates! This opportunity includes in-person internship of 90 days at one of our selected host institutions, supervised by a dedicated advisor. Program Benefits: Selected
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! NEWS! Free registration for the
SPECIES is excited to announce up to four scholarships for current research students and recent PhD graduates! This opportunity includes a three-month in-person internship at one of our selected host institutions, supervised by a dedicated advisor. Program Benefits: Selected candidates
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! NEWS! Due to numerous requests,
SPECIES is excited to announce up to three scholarships for current research students and recent PhD graduates! This opportunity includes a three-month, in-person internship at one of our selected host institutions, supervised by a dedicated advisor. Program Benefits: Selected candidates
Upcoming conferences
The 28th EvoStar conference is set to take place in Trieste, Italy, from April 23 to 25, 2025. This event offers a unique opportunity to explore the latest breakthroughs in Evolutionary Computation, reconnect with familiar faces, and forge new connections.
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.
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
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
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
Relevant Journals
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,
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 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 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 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