The intricacy and beauty of natural behaviours and shapes have inspired computational methods to understand and predict them, while Natural Evolution has inspired powerful computational problem-solving methods.
We illustrate these two fields, Complexity and Evolutionary Computation, with a series of visual examples and metaphors; from the artificial evolution of plant-like structures to the automated design of transportation routes, educational timetables, and medical treatments
Please register on EventBrite
Gabriela Ochoa is a Professor in Computing Science at the University of Stirling, Scotland. She received BSc and MSc degrees in Computer Science from the University Simon Bolivar, Venezuela and a PhD from the University of Sussex, UK. She worked in industry for 5 years before joining academia and has held faculty and research positions at the University Simon Bolivar, Venezuela and the University of Nottingham, UK. Her research interests lie in the foundations and application of evolutionary algorithms and optimisation methods, with emphasis on autonomous search, hyper-heuristics, fitness landscape analysis, visualisation and applications to logistics, transportation, healthcare, and software engineering. She has published over 120 scholarly papers and serves various program committees. She was associate editor of the IEEE Transactions on Evolutionary Computation, is currently for the Evolutionary Computation Journal, and is a member of the Editorial Board for Genetic Programming and Evolvable Machines. She proposed the first Cross-domain Heuristic Search Challenge, has served as organiser and/or program chair for various Evolutionary Computation events such as EvoCOP, FOGA, PPSN, IEE CEC, GECCO and served as the Editor-in-Chief for GECCO 2017. She is a member of the executive boards of the ACM interest group on Evolutionary Computation (SIGEVO), and the leading European event on Bio-inspired Computing (EvoSTAR).