Application of Neumann’s Machine of Self- Reproduction - Evolution and Artificial life in Process Engineering
نویسندگان
چکیده
The aim of this paper is to present the historical background of artificial life based stochastic optimization algorithms from the viewpoint of Neumann’s Self-reproduction scheme. The theory of evolutionary and swarm optimization are overviewed and compared from this viewpoint. A detailed application example is given to demonstrate how these tools can be applied to solve process optimization problems. The performances of Evolutionary Strategy, Particle Swarm Optimization, Simulated Annealing and Sequential Quadratic Programming based algorithms are compared.
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