L. A. / Lachmann / Springer / Sunderland / Meyers / Oxford / /
Company
Sinauer Associates Inc. / Cambridge University Press / Harvard University Press / Clarendon Press / /
Country
United States / United Kingdom / / /
Facility
Research Institute / Keele University / Middlesex University / The University of Manchester / /
IndustryTerm
silico using genetic algorithms / genetic algorithm / generational algorithm / state algorithms / natural biological systems / neutral network / steady state algorithms / generational genetic algorithm / genetic algorithms / biological systems / steady state algorithm / neutral networks / biological applications / generational vs. steady state evolutionary algorithms / steady-state-like algorithm / steady state genetic algorithm / arbitrary gene network / /
Organization
Cambridge University / Middlesex University / London / School of Engineering and Information Sciences / Harvard University / International Congress / Faculty of Life Sciences / University of Manchester / Keele University / National Academy of Sciences / Research Institute for the Environment / Physical Sciences and Applied Mathematics / /
Critical Mutation Rate Has an Exponential Dependence on Population Size Alastair Channon1 , Elizabeth Aston1 , Charles Day1 , Roman V. Belavkin2 and Christopher G. Knight3 1 Research Institute for the Environment, Physic