Geodesic
Parallel solving of optimization problems on distributed systems by asynchronous differential evolution
Matematičeskoe modelirovanie, Tome 24 (2012) no. 12, pp. 33-37

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Asynchronous Differential Evolution (ADE) is an Evolutionary algorithm to solve derivative-free global optimization problems. It provides an effective parallel realization. ADE with Restart (ADE-R) automatically restarts calculations with an increased population size while stagnation or population degeneration is diagnosed. Thus the probability of convergence can approach a unity. Performance and speed-up for parallel calculations of various ADE-R strategies is compared with the classical Differential Evolution strategies with Restart (DE-R).
Keywords: asynchronous differential evolution, global minimum, parallel computation. 
@article{MM_2012_24_12_a5,
     author = {E. I. Zhabitskaya and M. V. Zhabitsky},
     title = {Parallel solving of optimization problems on distributed systems by asynchronous differential evolution},
     journal = {Matemati\v{c}eskoe modelirovanie},
     pages = {33--37},
     publisher = {mathdoc},
     volume = {24},
     number = {12},
     year = {2012},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MM_2012_24_12_a5/}
}
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E. I. Zhabitskaya; M. V. Zhabitsky. Parallel solving of optimization problems on distributed systems by asynchronous differential evolution. Matematičeskoe modelirovanie, Tome 24 (2012) no. 12, pp. 33-37. http://geodesic.mathdoc.fr/item/MM_2012_24_12_a5/