| traffic optimization in railroad networks using an algorithm mimicking an amoeba-like organism, physarum plasmodium. | traffic optimization of railroad networks was considered using an algorithm that was biologically inspired by an amoeba-like organism, plasmodium of the true slime mold, physarum polycephalum. the organism developed a transportation network consisting of a tubular structure to transport protoplasm. it was reported that plasmodium can find the shortest path interconnecting multiple food sites during an adaptation process (nakagaki et al., 2001. biophys. chem. 92, 47-52). by mimicking the adaptati ... | 2011 | 21620930 |
| rules for biologically inspired adaptive network design. | transport networks are ubiquitous in both social and biological systems. robust network performance involves a complex trade-off involving cost, transport efficiency, and fault tolerance. biological networks have been honed by many cycles of evolutionary selection pressure and are likely to yield reasonable solutions to such combinatorial optimization problems. furthermore, they develop without centralized control and may represent a readily scalable solution for growing networks in general. we ... | 2010 | 20093467 |