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On stability and convergence of the population-dynamics in differential evolution
2009
AI Communications
Theoretical analysis of the dynamics of evolutionary algorithms is believed to be very important to understand the search behavior of evolutionary algorithms and to develop more efficient algorithms. In this paper we investigate the dynamics of a canonical Differential Evolution (DE) algorithm with DE/rand/1 type mutation and binomial crossover. Differential Evolution (DE) is well-known as a simple and efficient algorithm for global optimization over continuous spaces. Since its inception in
doi:10.3233/aic-2009-0440
fatcat:m5kf67zsk5cgreoytplg3uznai