Sentence examples for satisfaction optimization from inspiring English sources

The STEGS is a hard constraint satisfaction optimization problem.

We propose a data mining-constraint satisfaction optimization problem (DM CSOP) where it is desired to maximize the number of correct classifications at a lowest possible information acquisition cost.

The self-controlling software paradigm is evaluated on two different NP-hard constraint satisfaction and optimization problems.

For these instances, our approach is more scalable, it produces more compact formulations, it is more efficient in terms of run time and more effective in terms of pruning for both stochastic constraint satisfaction and optimization problems.

The chapter also reviews the first important characteristic of constraint logic programs that is, they allow succinct, natural conceptual modeling of satisfaction and optimization problems.

We demonstrate through test cases and simulation that elastic threshold-based CAC outperforms existing CAC algorithms for QoS satisfaction and reward optimization in solution optimality for serving multiple QoS service classes in wireless networks.

Taking into consideration the existence of outage in the QoS satisfaction, a proposed optimization procedure for the system performance can be stated as.

We analyze performance characteristics of a class of call admission control (CAC) algorithms designed for servicing multiple priority classes in wireless networks with the goal of quality of service (QoS) satisfaction and reward optimization.

Experiments also show that a fixed energy source can be extended for an average of 18% of the time using the NoC user satisfaction based energy optimization proposed in this research.

Furthermore, scheduling problems are most naturally formulated as constraint satisfaction or mathematical optimization problems, but these are seldom implemented using state of the art numerical methods, nor do they explicitly take into account the fact that the scheduling problem itself takes time to solve.

This figure shows how the optimizer actuator takes into account the user satisfaction as parameter in the optimization stage.