SPECIES Society – the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings

Julian Francis Miller Award

The Julian Francis Miller Award is given for important contributions to the algorithmic exploration and embodiment of evolution, development and/or learning.

SPECIES offers up to three scholarships in its areas of interest, for current PhD students and recent graduates (24 months prior to the application deadline) to work with relevant research groups. +info in the Scholarships page

SPECIES stand for Peace

SPECIES — the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings calls for peace and is solidary with the victims of war. We stand for peace and cooperation as the primary tools for welfare, freedom, prosperity, and progress.

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

Comments from previous scholarship holders

This is what they said: “The SPECIES scholarship was a great opportunity for me to get to know and collaborate with a different research group in the field of evolutionary computation. The 3-month format allows for deep and productive discussions

Upcoming conferences

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

EvoStar 2021

The 24th EvoStar conference will take place (hopefully!) in Seville, Spain, from 7 to 9 April 2021. Join us to discover the latest advances in Evolutionary Computation, meet old friends and/or make new ones – in person or online! Check

EvoStar 2020

EvoStar, an event organized by SPECIES, will be held in Seville, Spain. EvoStar comprises of four co-located conferences run each spring at different locations throughout Europe. These events arose out of workshops originally developed by EvoNet, the Network of Excellence in Evolutionary

Evostar 2018

Evostar About EvoStar comprises of four co-located conferences run each spring at different locations throughout Europe. These events arose out of workshops originally developed by EvoNet, the Network of Excellence in Evolutionary Computing, established by the Information Societies Technology Programme

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