Micro genetic algorithm with spatial crossover and correction schemes for constrained three-dimensional reader network planning
作者：
Highlights：
• We formulate a constrained 3-dimensional reader network planning (C3DRNP) problem.
• We propose a micro genetic algorithm (mGA) to solve the C3DRNP problem.
• The proposed mGA consists of novel spatial crossover and correction schemes.
• The obtained solution is guaranteed to achieve 100% tag coverage.
• The proposed mGA outperforms the particle swarm optimization method and conventional GA.
摘要
•We formulate a constrained 3-dimensional reader network planning (C3DRNP) problem.•We propose a micro genetic algorithm (mGA) to solve the C3DRNP problem.•The proposed mGA consists of novel spatial crossover and correction schemes.•The obtained solution is guaranteed to achieve 100% tag coverage.•The proposed mGA outperforms the particle swarm optimization method and conventional GA.
论文关键词：Radio frequency identification (RFID),RFID reader network planning,Micro genetic algorithm,Spatial crossover,Correction scheme
论文评审过程：Received 14 April 2014, Revised 25 August 2015, Accepted 27 August 2015, Available online 14 September 2015, Version of Record 10 November 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.08.046
