Javid Jouzdani

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The location-routing problem (LRP), which integrates location and routing decisions, has been an attraction to both researchers and practitioners. LRP as an important business problem has its own inherent uncertainty; especially, considering phenomena such as traffic congestion and weather conditions and their impact on transportation costs, routing in LRP(More)
Mobile Robots are considered as the most widely used class of robots and in this research area, obstacle avoidance and environment learning are among the most important fields. In this paper, a method for mobile robot learning and avoiding fuzzy obstacles in an unknown environment is proposed, assuming that the movement of the robot in the environment is a(More)
This paper presents a generalized reinforcement learning methodology for tuning fuzzy logic controllers with nonlinear dynamic behaviors. To this aim, the Generalized Approximate Reasoning-Based Intelligent Controller (GARIC) model in [3] is modified to handle vagueness in control states. The proposed architecture has a self-tuning capability even when only(More)
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