The homeostatic model of aging formalizing the concept of oxidative damage to the body was pro posed in 2001. This formalization led to extensive opportunities for using the model to analyze reproduction and longevity of living organisms. Currently, the simulationof life processes in fruit flies gives much attention to the distribution of resources, taking into account the action of genetic noise. As a result, there is heteroge neity of individual reproduction, in which unbalanced allocation of resources ends with the death from repro ductive overload. This paper considers a model of the mechanism of stochasticity of individual reproduction and the possibility of its use to assess the maximally tolerated changes in the external environment.

In this paper, we propose a mechanism for speeding up networked group expertise (e-expertise) and gaining a collective insight, by structuring the information used in the decision-making process in a special convergent way. We have previously proposed the convergent method for structuring information, which is based on the fundamental principles of control thermodynamics, inverse problems, holistic discourse, cognitive modeling, quantum semantics, and artificial intelligence. This paper presents a further development, which considers breakthrough thinking processes and introduces cognitive programming approaches. We use mappings of unformalized cognitive concepts and their connections into mathematical constructions or sets of objects (documents, messages, comments, etc.) as semantic interpretations of the cognitive model. We applied special structural conditions to the set of semantic interpretations. Our techniques can help groups of experts and decision-makers to create simultaneously non-causal and good decisions. The methods have been implemented as software, the e-expertise system, and have been tested on decision-making processes in e-government conditions.

The paper deals with a relevant problem of optimal placement of base stations in broadband wireless networks along the long highways. This problem is formulated in terms of integer linear programming. The exact solution of the problem as well as the high-speed heuristic algorithm are presented.

As it known the optimal policy which minimizes the long-run average cost per unit of time in a multi-server queueing system with heterogeneous servers without preemption has a threshold structure. It means that the slower server must be activated whenever all faster servers are busy and the number of customers in the queue exceeds some specified for this server threshold level. The optimal thresholds can be evaluated using the Howard iteration algorithm or by minimizing the function of the average cost which can be obtained in closed form as a function of unknown threshold levels. The both cases have sufficient restrictions on dimensionality of the model. In present paper we provide a heuristic method to derive expressions for the optimal threshold levels in explicit form as functions of system parameters like service intensities, usage and holding costs for an arbitrary number of servers. The proposed method is based on the fitting of the boundary planes between the areas where the optimal threshold takes a certain value.