Knowledge evolution strategies
Ying Zhang · Systems engineering and electronics · 2007
Based on evolutionary epistemology proposed by Sir Karl Raimund Popper,a computational framework of Knowledge Evolution Strategies(KES) is proposed at first.The key idea behind Knowledge Evolution Strategies is that both of hypotheses set(H) and knowledge set(K),which are connected with conjecture and refutation method(CRM),evolve into the truth cooperatively,i.e.the best solutions of the problem to be solved.Then a specific implementation of Knowledge Evolution Strategies for nonlinear unconstraint optimization problems is produced.And 12 nonlinear multidimensional unconstraint function optimization problems are investigated.The computational experiment shows that Knowledge Evolution Strategies can produce substantial performance improvements as expressed in terms of high speed for convergence and avoid the premature convergence to some degree.