The ACM Special Interest Group on Genetic and Evolutionary Computation (SIGEVO) aims to promote and disseminate in academia, industry, and society the principles, techniques and applications of Genetic and Evolutionary Computation as well as other bio-inspired methods. Evolutionary algorithms address discrete and continuous optimization, modeling and machine learning. They have achieved human competitive results and solved complex, challenging problems in a myriad of real world domains. Evolutionary computation also includes the study of complex artificial evolutionary systems and processes.
SIGEVO operates the annual Genetic and Evolutionary Computation Conference (GECCO) and the biannual workshop on the Foundations of Genetic Algorithms (FOGA). Sigevo provides support for student participation in the activities of the organization, supports other educational efforts and sponsors other specialized conferences and events. Members include academic and industrial researchers, educators and practitioners, software developers, artists, and students.
SIGEVO operates the annual Genetic and Evolutionary Computation Conference (GECCO) and the biannual workshop on the Foundations of Genetic Algorithms (FOGA). Sigevo provides support for student participation in the activities of the organization, supports other educational efforts and sponsors other specialized conferences and events. Members include academic and industrial researchers, educators and practitioners, software developers, artists, and students.