The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization
Proceedings of the 5th International Conference on Genetic Algorithms
Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Security and Privacy Challenges in the Smart Grid
IEEE Security and Privacy
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
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Advanced metering infrastructure (AMI) is an integral part of the smart grid. It plays a significant role in control and management for utilities. Along with its pervasiveness, effective AMI network design has drawn more attention. To some extent, the reliability and robustness of the whole system is partially pre-determined by the whole smart distribution network design. Location arrangement for Access Points (APs) is an important aspect of the smart distribution grid structure which influences the system performance greatly because an optimized network by itself is effective to reduce cost and deal with emergencies or threats such as a breakdown hazard. This paper is dedicated to employ multi-objective optimization formulations to analyze and solve this network design problem in the smart distribution grid.