Results 51 to 60 of about 49,095 (250)
An improved ant colony algorithm based on Q-Learning for route planning of autonomous vehicle
International Journal of Computers Communications & ControlIn view of the problems existing in the path planning algorithms of unmanned vehicles, such as low search efficiency, slow convergence speed and easy to fall into the local optimal.
Liping Zhao +3 more
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IEEE Access, 2021 In this paper, an adaptive variable neighborhood search ant colony algorithm (AVNSACA) is proposed to solve the vehicle routing problem with soft time windows (VRPSTW).
Meiling He +3 more
doaj +1 more source
Improved Ant Colony Algorithm for the Split Delivery Vehicle Routing Problem
Applied SciencesThe split delivery vehicle routing problem (SDVRP) is a classic combinatorial optimization problem, which is usually solved using a heuristic algorithm. The ant colony optimization algorithm is an excellent heuristic algorithm that has been successfully ...
Xiaoxuan Ma, Chao Liu
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Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced Robotics Research, EarlyView.In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Improved Ant Colony Algorithm for Network Flow Scheduling in SDN Data Center
Journal of Harbin University of Science and Technology, 2022 At present, in the software defined data center network, the flow scheduling strategy based on ant colony algorithm has the disadvantages of too slow convergence and search stagnation in path selection, which easily leads to the problems of excessively ...
ZHU Su-xia +3 more
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From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
Advanced Robotics Research, EarlyView.This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Research on Route Planning based on improved Ant Colony Algorithm
Journal of Physics: Conference Series, 2021 In order to enhance the safe flight performance of UAV and better complete complex tasks, it is extremely necessary to study route planning. Firstly, the feature points of the landform landform are extracted as the flight track points of the UAV, and the
Chen Xin +4 more
semanticscholar +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Advanced Science, EarlyView.Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
Research on the optimal path planning of coal exploration and rescue robot
Gong-kuang zidonghua, 2017 In order to solve path planning problem of coal exploration and rescue robots in three-dimentional environment, an optimal path planning method for coal exploration and rescue robot based on improved ant colony algorithm was proposed.
LI Xiaojing, YU Dongman
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A study about the improvement of Ant colony algorithm [PDF]
Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering, 2016 The ant colony algorithm is a new kind of simulated evolutionary algorithm for random searching, which converges to the optimal path by the accumulation of pheromone and updating. But it lacks the global searching ability, and easily falls into local minimum and appears the phenomenon of premature stagnation.
Chao Fan, Qing-yin Niu, Wen-zhe Liang
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