A Hybrid Autonomic Computing-Based Approach to Distributed Constraint Satisfaction Problems

A Hybrid Autonomic Computing-Based Approach to Distributed Constraint Satisfaction Problems

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Distributed constraint satisfaction problems (DisCSPs) are among the widely endeavored problems using agent-based simulation.Fernandez et al.formulated sensor and mobile tracking problem as a DisCSP, 10m known as SensorDCSP In this paper, we adopt a customized ERE (environment, reactive rules and entities) algorithm for the SensorDCSP, which is otherwise proven as a computationally intractable problem.An amalgamation of the autonomy-oriented computing (AOC)-based algorithm (ERE) and genetic algorithm (GA) provides an early solution of the Baby Feeding modeled DisCSP.Incorporation of GA into ERE facilitates auto-tuning of the simulation parameters, thereby leading to an early solution of constraint satisfaction.

This study further contributes towards a model, built up in the NetLogo simulation environment, to infer the efficacy of the proposed approach.