Simultaneous localization and mapping in dense environments

Authors:
S. Chakravorty;R. Saha
Affiliations:
Department of Aerospace Engineering, Texas A&M University, College Station;Department of Aerospace Engineering, Texas A&M University, College Station
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 ...