The $-calculus process algebra for problem solving applies the cost performance measures to converge to optimal solutions with minimal problem solving costs. The same meta-level kΩ-optimization control can be used to find the best quality solutions (expressed as optimization problems), the most effective solutions (expressed as search optimization problems), or to find solutions representing th...

Designing optimal teams of sensors to detect the enemy radars for military operations is a challenging design problem. Many applications require the need to manage sensor resources. There is a tradeoff between the need to decrease the cost and to increase the capabilities of a sensor suite. In this paper, we address this design problem using genetic algorithms. We attempt to evolve the characte...

Computation of a satisfactory policy for a decision problem when the parameters of the model are uncertain is a problem encountered in many applications. The traditional robust approach is based on a worst-case analysis and may lead to overly conservative solutions. In this paper we directly quantify the robustness to uncertainty and consider the tradeoff between the nominal performance and rob...

In machine learning there is considerable interest in techniques which improve planning ability. Initial investigations have identified a wide variety of techniques to address this issue. Progress has been hampered by the utility problem, a basic tradeoff between the benefit of learned knowledge and the cost to locate and apply relevant knowledge. In this paper we describe the COMPOSER system w...

The major challenge in designing wireless sensor networks (WSNs) is to find tradeoff between the desired and contrary requirements for the lifetime, coverage or cost while coping with the computation, energy and communication constraints. This paper examines the optimal placement of nodes for a WSN. It is impossible to consider the deployment of the nodes separately from WSNs applications. We h...

An IEEE 802.11 WLAN is a group of wireless nodes located within a moderate physical area. It provides intensified productivity, less cost of installation and mobility. The open to air nature of wireless channel that give us great convenience of mobility also make it vulnerable to attack. Various security issues are described in paper. The tradeoff between security and throughput is main focus i...

We study and develop a robust control framework for malware filtering and network security. We investigate the malware filtering problem by capturing the tradeoff between increased security on one hand and continued usability of the network on the other. We analyze the problem using a linear control system model with a quadratic cost structure and develop algorithms based on H∞-optimal control ...

Test costs and misclassification costs are two most important types in cost-sensitive learning. In decision systems with both costs, there is a tradeoff between them while building a classifier. Generally, with more attributes selected and more information available, the test cost increases, and the misclassification cost decreases. We shall deliberately select an attribute subset such that the...

Creating a cost-effective large-scale multi-tier Enterprise service requires judicious selection and configuration of infrastructure elements and mechanisms. The minimum cost solution that satisfies business requirements for service availability and performance should be identified. Emerging self-managed computing utility environments demand an automated solution to this problem. This solution ...