A Method of Controlled Islanding Strategy Based on Artificial Fish Swarm Algorithm

Optimal controlled islanding strategy searching is a complex combinational optimization problem. Artificial fish swarm algorithm (AFSA) based on the simulation of fish swarm is an intelligent meta-heuristics. In this paper, AFSA is applied to the searching of optimal controlled islanding strategy. In order to minimize the unbalanced power in each island, a mathematic model is established with some constraints. Simulation result on IEEE-39 node system shows that the proposed method can obtain the optimal strategy promptly and has strong global search ability.

Impact of JIT and TQM Strategies on Searching for Health Information and Ensuring Service Quality in Hospitals

This investigation analytically and empirically the effects of just-in-time (JIT) and total quality management (TQM ) strategies on searching for health information and the quality of hospital service, and analyzes the steps that are involved in knowledge management that are required to improve the quality of service in a hospital. The final section of this investigation proposes that effectively promoting total quality management activities requires managers to evaluate, and to improve the convenience of systems for searching health information. The results also indicate that the JIT strategy is directly positively related to the effectiveness of searches for health information and the quality of service at a hospital, and that a positive relationship exists between the TQM strategy, searching for information and quality of service in all instances.