Underwater swarm robotics consensus control

  • Authors:
  • Matthew A. Joordens;Mo Jamshidi

  • Affiliations:
  • School of Engineering, Deakin University, Waurn Ponds, Australia;Autonomous Control Engineering, Center and ECE Department, UTSA, San Antonio

  • Venue:
  • SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
  • Year:
  • 2009

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Abstract

Evolutionary multiobjective optimization (EMO) is an active research area in the field of evolutionary computation. EMO algorithms are designed to find a non-dominated solution set that approximates the entire Pareto front of a multiobjective optimization ...