Abstract:The problem of joint optimization of inventory and transportation in agricultural logistics and distribution is a typical logistics problem, but agricultural logistics and distribution also have their own characteristics, such as uneven distribution of outlets, complex road conditions, very many outlets, a single order with few goods but high frequency of ordering, centralized distribution, and unified channels. To promote the sustainable development of the economy, it is necessary to save energy and reduce em… Show more
“…According to the theory of ACO [8][9][10], traversing through this process, the best route will converge since the ant descendants will tend to move on the paths that contain more pheromones.…”
Section: Incorporating Aco With the Robotmentioning
The autonomous robot being introduced aims to facilitate activities in hospitals, especially in the isolation wards, and bio/chemical laboratories. The text begins with introducing the parallelogram design of the robot, which permits 3 degrees of freedom (DoF), comprising 2 translational axes and 1 rotational axis. Macanum wheels provide high maneuverability and dexterity regarding robot motion, and its dynamic kinematic analysis is encompassed in the passage. Then, the essay specifically explains the methodology for testing the robot’s path-planning competence. Adopted by the robot, ant colony optimization (ACO) is a route-planning algorithm that has strong potential. It can deal with convoluted map configurations and has the value of incorporating advanced route planning and mapping technologies including SLAM. The essay then displays and analyzes the results from the test runs by inserting ACO into the route planning of a hospital map. Finally, the essay elicits the challenges and discusses the opportunities that the technologies being applied and how can the entire robot design be elaborated for a higher investigation value.
“…According to the theory of ACO [8][9][10], traversing through this process, the best route will converge since the ant descendants will tend to move on the paths that contain more pheromones.…”
Section: Incorporating Aco With the Robotmentioning
The autonomous robot being introduced aims to facilitate activities in hospitals, especially in the isolation wards, and bio/chemical laboratories. The text begins with introducing the parallelogram design of the robot, which permits 3 degrees of freedom (DoF), comprising 2 translational axes and 1 rotational axis. Macanum wheels provide high maneuverability and dexterity regarding robot motion, and its dynamic kinematic analysis is encompassed in the passage. Then, the essay specifically explains the methodology for testing the robot’s path-planning competence. Adopted by the robot, ant colony optimization (ACO) is a route-planning algorithm that has strong potential. It can deal with convoluted map configurations and has the value of incorporating advanced route planning and mapping technologies including SLAM. The essay then displays and analyzes the results from the test runs by inserting ACO into the route planning of a hospital map. Finally, the essay elicits the challenges and discusses the opportunities that the technologies being applied and how can the entire robot design be elaborated for a higher investigation value.
“…Zhaolei He et al proposed an Improved Life-cycle Swarm Optimization (ILSO) algorithm to help companies reduce costs [2]. Bo Dong et al investigated the joint optimization and visualization of inventory transportation in agricultural logistics based on ACA [3].…”
The primary objective of logistics transportation vehicle scheduling is to guide transportation vehicles to complete logistics tasks in the shortest possible time while minimizing logistics costs. However, traditional research in logistics transportation vehicle scheduling has been criticized for its narrow focus, limited consideration of constraints, and often sub-optimal route planning, which hinder its practical applicability. To address these issues, we propose an AI Planning method to simulate logistics transportation vehicle scheduling scenarios. We utilize the PDDL language to construct standard planning tasks, and then employ the state-of-the-art planner to solve these tasks, generating planning solutions which are used as vehicle scheduling schemes. The experimental results demonstrate that our proposed method is capable of generating scheduling schemes in a relatively short time, guiding transport vehicles to complete logistics transportation tasks.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.