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Synergy of the Reinforcement and Agent-Based Technique for Finding Optimal Solution in a Predefined Interval

Blerim Qela and Hussein Mouftah

The 2010 Summer Computer Simulation Conference (SCSC 10)
Ottawa, Canada, July 11-14, 2010


In this paper, a new algorithm for finding the optimal solution, in particular, finding maximum of a function in a predefined interval efficiently, by integrating reinforcement and agent based technique is presented. “Reinforcement and Agent-based Search” application was implemented in C# to observe the algorithm at work and demonstrate its main features. The simulation results for several different functions are presented in order to demonstrate the result of synergy among reinforcement and agent based techniques. In addition, its usefulness, in embedded systems with limited memory and/or processing power, such as the wireless sensor and/or actuator nodes are discussed.

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