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Can quantitative and population genetics help us understand evolutionary computation?, и . GECCO, стр. 1573-1580. ACM, (2013)Scalability of a Novel Shifting Balance Theory-Based Optimization Algorithm: A Comparative Study on a Cluster-Based Wireless Sensor Network., , , и . ICES, том 5216 из Lecture Notes in Computer Science, стр. 249-260. Springer, (2008)Evolution and Computing (Dagstuhl Seminar 16011)., , и . Dagstuhl Reports, 6 (1): 1-14 (2016)A new model for evolution in a spatial continuum, , и . Electronic Journal of Probability, (2010)A variance decomposition approach to the analysis of genetic algorithms., и . GECCO, стр. 845-852. ACM, (2013)Multi-Objective Evolutionary Optimizations of a Space-Based Reconfigurable Sensor Network under Hard Constraints., , , и . BLISS, стр. 72-75. IEEE Computer Society, (2007)System-Level Modeling and Multi-objective Evolutionary Design of Pipelined FFT Processors for Wireless OFDM Receivers., , , и . ICES, том 4684 из Lecture Notes in Computer Science, стр. 210-221. Springer, (2007)Multiobjective Optimal Design of MEMS-Based Reconfigurable and Evolvable Sensor Networks for Space Applications., , , , , и . AHS, стр. 27-34. IEEE Computer Society, (2007)An Improved Particle Swarm Optimization Algorithm for Power-Efficient Wireless Sensor Networks., , , и . BLISS, стр. 76-82. IEEE Computer Society, (2007)A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks., , , и . IEEE Congress on Evolutionary Computation, стр. 2749-2756. IEEE, (2008)