Alexander Kosorukoff

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We conducted a comprehensive genomic analysis of the temporal response of yeast to anaerobiosis (six generations) and subsequent aerobic recovery (Ϸ2 generations) to reveal metabolic-state (galactose versus glucose)-dependent differences in gene network activity and function. Analysis of variance showed that far fewer genes responded (raw P value of <10 ؊8)(More)
We conducted a comprehensive genomic analysis of the temporal response of yeast to anaerobiosis (six generations) and subsequent aerobic recovery ( approximately 2 generations) to reveal metabolic-state (galactose versus glucose)-dependent differences in gene network activity and function. Analysis of variance showed that far fewer genes responded (raw P(More)
Traditional areas of application of genetic algorithms (GA) are engineering and technology. Success of genetic algorithms there is well known. This paper explores the use of genetic algorithms as models to in-uence the design of organization. In particular , we outline the concept of evolutionary organization process based on two recent cases: the Teamwork(More)
The number of tness evaluations determines the eeciency of a GA. This research suggests incremental evaluation which, if applicable, substantially reduces the complexity o f e v al-uation of some individuals. Incremental evaluation and rational choice of operator based on utility maximization gives a twofold reduction in computational cost needed to(More)
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