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Artificial searching swarm algorithm (ASSA) is a novel optimization algorithm. This paper presents the comparison results on the performance of the ASSA for solving constrained optimization problems. The penalty function method and non-parameter penalty method are applied to a set of constrained problem. The simulation results show that ASSA is an efficient algorithm for constrained optimization problems.
Simultaneous localization and mapping (SLAM) is an important topic in the autonomous mobile robot research. An improved Rao-Blackwellised particle filter (IRBPF) algorithm is proposed for the mobile robot to SLAM, which can simultaneously localize the robot and build up the map in the structured indoor environment. Firstly, IRBPF respectively uses particle filters (PF) to estimate the posterior probability...
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