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Traffic optimization in railroad networks using an algorithm mimicking an amoeba-like organism, Physarum plasmodium.

, , , and . Biosyst., 105 (3): 225-232 (2011)

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Computational Ability of Cells based on Cell Dynamics and Adaptability., , , , and . New Generation Comput., 27 (1): 57-81 (2008)Traffic optimization in railroad networks using an algorithm mimicking an amoeba-like organism, Physarum plasmodium., , , and . Biosyst., 105 (3): 225-232 (2011)A Method Inspired by Physarum for Solving the Steiner Problem., , , , and . Int. J. Unconv. Comput., 6 (2): 109-123 (2010)An Oscillator Model That Enables Motion Stabilization and Motion Exploration by Exploiting Multi-Rhythmicity., , , , , and . Adv. Robotics, 25 (9-10): 1139-1158 (2011)Physarum solver: A biologically inspired method of road-network navigation, , and . Physica A: Statistical Mechanics and its Applications, 363 (1): 115--119 (Apr 15, 2006)Minimalist CPG Model for Inter- and Intra-limb Coordination in Bipedal Locomotion., , , , and . IAS (2), volume 194 of Advances in Intelligent Systems and Computing, page 493-502. Springer, (2012)A CPG-based decentralized control of a quadruped robot inspired by true slime mold., , , , and . IROS, page 4928-4933. IEEE, (2010)Rules for biologically inspired adaptive network design., , , , , , , , and . Science (New York, N.Y.), 327 (5964): 439--442 (Jan 22, 2010)Simulation of a soft-bodied fluid-driven amoeboid robot that exploits thixotropic flow., , , and . ICRA, page 5123-5128. IEEE, (2011)Flow-network adaptation in Physarum amoebae., , , , and . Theory Biosci., 127 (2): 89-94 (2008)