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H.Juill and J.B.Pollack, "Parallel Genetic Programming on Fine-Grained SIMD Architectures," Working Notes of the 1995 AAAI Fall Symposium on Genetic Programming, Cambridge, Massachusets, 1995.

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Speedup Improvement on Automatic Robot Programming by.. - Tongchim.. (1999)   (1 citation)  (Correct)

....algorithm. In recent years, GP has been accepted as a promising method to undertake a large number of complex problems in various application domains. As there is an increase in the use of this method, the need for speeding up the GP process by means of parallel processing becomes important [3]. Parallel GP was earlier implemented on a network of transputers by Koza and Andre [4] A related work in parallel GP implemented on a cluster of workstations used a master slave model [5] However, there is little research on parallel GP. In contrast, a lot of studies on parallel GA in various ....

H.Juill and J.B.Pollack, "Parallel Genetic Programming on Fine-Grained SIMD Architectures," Working Notes of the 1995 AAAI Fall Symposium on Genetic Programming, Cambridge, Massachusets, 1995.


High-Performance, Parallel, Stack-Based Genetic Programming - Stoffel, Spector (1996)   (1 citation)  (Correct)

....and would require significant redesign for other machines. Juille and Pollack have developed a SIMD (single instruction multiple data) parallel genetic programming system that represents programs as S expressions but precompiles them into programs for a virtual stack machine prior to execution [Juille and Pollack 1995]. They note that the variation in S expression sizes across the population can introduce overhead, and they use local breeding strategies to reduce interprocessor communication costs. S expression based program representations are responsible for several of the performance limitations of previous ....

Juille, H., and J.B. Pollack. 1995. Parallel Genetic Programming on Fine-Grained SIMD Architectures. In Working Notes of the AAAI-95 Fall Symposium on Genetic Programming.

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