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PIEEE (Proceedings of the IEEE)

  • Dorigo, M., Theraulaz, G. and Trianni, V., 2021. Swarm robotics: Past, present, and future [Point of View]. Proceedings of the IEEE, 109(7), pp.1152-1165. [ www ] ( SR )
  • Groß, R. and Dorigo, M., 2008. Self-assembly at the macroscopic scale. Proceedings of the IEEE, 96(9), pp.1490-1508. [ www ]
  • Wilson, S.S., 1991. Teaching network connectivity using simulated annealing on a massively parallel processor. Proceedings of the IEEE, 79(4), pp.559-566. [ www ] ( SA )
  • Szu, H.H. and Hartley, R.L., 1987. Nonconvex optimization by fast simulated annealing. Proceedings of the IEEE, 75(11), pp.1538-1540. [ www ] ( SA )

2020

Zhang, S., Pöhlmann, R., Wiedemann, T., Dammann, A., Wymeersch, H. and Hoeher, P.A., 2020. Self-aware swarm navigation in autonomous exploration missions. Proceedings of the IEEE, 108(7), pp.1168-1195. [ www ]

2014

Bongard, J. and Lipson, H., 2014. Evolved machines shed light on robustness and resilience. Proceedings of the IEEE, 102(5), pp.899-914. [ www ] ( ER )

2012

Rahmat-Samii, Y., Kovitz, J.M. and Rajagopalan, H., 2012. Nature-inspired optimization techniques in communication antenna designs. Proceedings of the IEEE, 100(7), pp.2132-2144. [ www) ]

Perret, E., Tedjini, S. and Nair, R.S., 2012. Design of antennas for UHF RFID tags. Proceedings of the IEEE, 100(7), pp.2330-2340. [ www ]

2007

Falk, H., 2007. Prolog to: Multi-User MIMO-OFDM for Next-Generation Wireless. Proceedings of the IEEE, 95(7), pp.1428-1429. [ www ]

2006

Uchibe, E. and Asada, M., 2006. Incremental coevolution with competitive and cooperative tasks in a multirobot environment. Proceedings of the IEEE, 94(7), pp.1412-1424. [ www ]

2004

Fogel, D.B., Hays, T.J., Hahn, S.L. and Quon, J., 2004. A self-learning evolutionary chess program. Proceedings of the IEEE, 92(12), pp.1947-1954. [ www ]

Cho, S.B., 2004. Emotional image and musical information retrieval with interactive genetic algorithm. Proceedings of the IEEE, 92(4), pp.702-711. [ www ]

2001

Takagi, H., 2001. Interactive evolutionary computation: Fusion of the capabilities of EC optimization and human evaluation. Proceedings of the IEEE, 89(9), pp.1275-1296. [ www ]

Furuhashi, T., 2001. Fusion of fuzzy/neuro/evolutionary computing for knowledge acquisition. Proceedings of the IEEE, 89(9), pp.1266-1274. [ www ]

Hoffmann, F., 2001. Evolutionary algorithms for fuzzy control system design. Proceedings of the IEEE, 89(9), pp.1318-1333. [ www ]

Bonarini, A., 2001. Evolutionary learning, reinforcement learning, and fuzzy rules for knowledge acquisition in agent-based systems. Proceedings of the IEEE, 89(9), pp.1334-1346. [ www ]

1999

Chellapilla, K. and Fogel, D.B., 1999. Evolution, neural networks, games, and intelligence. Proceedings of the IEEE, 87(9), pp.1471-1496. [ www ]

Yao, X., 1999. Evolving artificial neural networks. Proceedings of the IEEE, 87(9), pp.1423-1447. [ www ]

Fukuda, T. and Kubota, N., 1999. An intelligent robotic system based on a fuzzy approach. Proceedings of the IEEE, 87(9), pp.1448-1470. [ www ]

1998

Rose, K., 1998. Deterministic annealing for clustering, compression, classification, regression, and related optimization problems. Proceedings of the IEEE, 86(11), pp.2210-2239. [ www ]

1995

Fogel, D.B., 1995. Review of computational intelligence: Imitating life [Book reviews]. Proceedings of the IEEE, 83(11), p.1588. [ pdf ]