Event-driven Strategies Research Articles

Strategy-based decision making of a soccer robot system using a real-time self-organizing fuzzy decision tree

In a soccer robot game, the environment is highly competitive and dynamic. In order to work in the dynamically changing environment, the decision-making system of a soccer robot system should have the features of flexibility and on-line adaptation. This paper proposed a strategy-based decision-making system for a soccer robot system. The decision system is based on the proposed self-organizing fuzzy decision tree (SOFDT). Due to event-driven strategies, the proposed decision-making system has the advantage of flexibility. The proposed SOFDT possesses simple, apparent, and fast generation/reasoning processes. The resultant system is a self-organizing strategy-based decision-making system. According to decision results, SOFDT can on-line modify its parameters and structure for achieving better adaptability and improvement. The performance of the proposed systems was verified by applying them to the simulation and experiment of 3-to-3 robot soccer games. The results are satisfactory.

Analytical models to predict the performance of a single-machine system under periodic and event-driven rescheduling strategies

This article presents initial results in the search for analytical models that can predict the performance of one-machine systems under periodic and event-driven rescheduling strategies in an environment where different job types arrive dynamically for processing and set-up must incur when production changes from one product type to another. The scheduling algorithm considered uses a first-in firstout dispatching rule to sequence jobs and it also groups jobs with similar types to save set-up time. The analytical models can estimate important performance measures like average flow time and machine utilization, which can then be used to determine optimal rescheduling parameters. Simulation experiments are used to show that the analytical models accurately predict the performance of the single machine under the scheduling algorithm proposed.