| Beyond pheromones: evolving error-tolerant, flexible, and scalable ant-inspired robot swarms JP Hecker, ME Moses Swarm Intelligence 9, 43-70, 2015 | 127 | 2015 |
| A multi-agent system approach to load-balancing and resource allocation for distributed computing S Banerjee, JP Hecker First Complex Systems Digital Campus World E-Conference 2015, 41-54, 2016 | 77 | 2016 |
| Formica ex machina: ant swarm foraging from physical to virtual and back again JP Hecker, K Letendre, K Stolleis, D Washington, ME Moses Swarm Intelligence 7461, 252-259, 2012 | 64 | 2012 |
| Protein disorder prediction at multiple levels of sensitivity and specificity J Hecker, J Yang, J Cheng BMC genomics 9 (Suppl 1), S9, 2008 | 57 | 2008 |
| A distributed deterministic spiral search algorithm for swarms GM Fricke, JP Hecker, AD Griego, LT Tran, ME Moses 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 51 | 2016 |
| Multiple-place swarm foraging with dynamic depots Q Lu, JP Hecker, ME Moses Autonomous Robots 42 (4), 909-926, 2018 | 47 | 2018 |
| The MPFA: A multiple-place foraging algorithm for biologically-inspired robot swarms Q Lu, JP Hecker, ME Moses 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 34 | 2016 |
| Exploiting clusters for complete resource collection in biologically-inspired robot swarms JP Hecker, JC Carmichael, ME Moses IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2015 | 34 | 2015 |
| Immune-inspired search strategies for robot swarms GM Fricke, JP Hecker, JL Cannon, ME Moses Robotica 34 (8), 1791-1810, 2016 | 29 | 2016 |
| From microbiology to microcontrollers: Robot search patterns inspired by t cell movement GM Fricke, F Asperti-Boursin, J Hecker, J Cannon, M Moses Artificial Life Conference Proceedings, 1009-1016, 2013 | 21 | 2013 |
| Evolving Error Tolerance in Biologically-Inspired iAnt Robots J Hecker, K Stolleis, B Swenson, K Letendre, M Moses Advances in Artificial Life, ECAL 12, 1025-1032, 2013 | 19 | 2013 |
| The swarmathon: An autonomous swarm robotics competition SM Ackerman, GM Fricke, JP Hecker, KM Hamed, SR Fowler, AD Griego, ... arXiv preprint arXiv:1805.08320, 2018 | 15 | 2018 |
| A scalable and adaptable multiple-place foraging algorithm for ant-inspired robot swarms Q Lu, ME Moses, JP Hecker arXiv preprint arXiv:1612.00480, 2016 | 15 | 2016 |
| An evolutionary approach for robust adaptation of robot behavior to sensor error JP Hecker, ME Moses Proceedings of the 15th annual conference companion on genetic and …, 2013 | 15 | 2013 |
| Distinguishing adaptive search from random search in robots and T cells GM Fricke, SR Black, JP Hecker, JL Cannon, ME Moses Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 12 | 2015 |
| Volatility and spatial distribution of resources determine ant foraging strategies D Levin, JP Hecker, ME Moses, S Forrest Artificial Life Conference Proceedings, 256-263, 2015 | 10 | 2015 |
| Methods for parallelizing the probabilistic neural network on a beowulf cluster computer J Secretan, M Georgiopoulos, I Maidhof, P Shibly, J Hecker The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 9 | 2006 |
| The ant and the trap: Evolution of ant-inspired obstacle avoidance in a multi-agent robotic system KA Stolleis, JP Hecker, ME Moses 15th Biennial ASCE Conference on Engineering, Science, Construction, and …, 2016 | 8 | 2016 |
| Probabilistic Neural Network: Comparison of the Cross-validation Approach and a Fast Heuristic to Choose the Smoothing Parameters M Zhong, J Hecker, I Maidhof, P Shibly, M Georgiopoulos, ... ASME, 2005 | 8 | 2005 |
| iAnt swarm robotic platform and evolutionary algorithms ME Moses, JP Hecker, K Letendre, KA Stolleis US Patent 9,446,512, 2016 | 6 | 2016 |
Melanie MosesUniversity of New Mexico在 cs.unm.edu 的电子邮件经过验证
