Application of Multi Objective Genetic Algorithm with Pareto Optimal Solution Space for Design in IoT

Abstract: In this paper we consider the design issues in IoT and find that single heuristics cannot be used to optimize multiple objectives .So, we prefer a multi objective genetic algorithm approach to solve this design issues. We particularly consider the Pareto optimal solution which cannot be dominated by any other solution in solution space. We formulate 4 objectives for IoT design and try to minimize or maximize them as per the need in hand. The main aim is to obtain a refined IoT architecture. In a refined IoT architecture, design parameters are same but the input values to this parameters are within a boundary as specified by the Pareto solution set. This paper will help the IoT designer to consider the objective function in terms of IoT design factor and obtain a justifiable solution set to enhance the design ability of the IoT architecture.

Keywords: IoT, Genetic Algorithm, Pareto Optimal Solution, Multiobjective Optimization.