Philippe De Wilde

TL;DR: A novel optimisation technique inspired by natural ecosystems is presented, where the optimisation works at two levels: a first optimisation, migration of services which are distributed in a decentralised peer-to-peer network, operating continuously in time; and a second optimisation based on evolutionary computing that operates locally on single peers and is aimed at finding solutions to satisfy locally relevant constraints.

TL;DR: A theorem concerning the dynamics of population variance in the case of real-valued search spaces and a 'flat' fitness landscape is state and proved, revealing how structural bias can arise and manifest as non-uniform clustering of the population over time.

TL;DR: While the review deals with video and nonvideo based aspects of crowd monitoring and crowd disaster prediction, evacuation techniques are reviewed via the theme of soft computing, along with a brief review on the evacuation navigation path.

TL;DR: The Digital Ecosystem is created, a novel optimisation technique inspired by biological ecosystems, where the optimisation works at two levels: a first optimisation, migration of agents which are distributed in a decentralised peer-to-peer network, operating continuously in time; this process feeds a second optimisation based on evolutionary computing that operates locally on single peers and is aimed at finding solutions to satisfy locally relevant constraints.

TL;DR: A probabilistic sub-gait interpretation model to recognize gaits, which tackles well the uncertainties imposed by typical covariate factors and shows significant recognition performance.