Many-objective optimization refers to multi-objective optimization problems with a number of objectives considerably larger than two or three. This papers contributes to the use of Particle Swarm Optimization (PSO) for the handling of such many-objective optimization problems. Multi-objective PSO approaches typically rely on the employment of a so-called set of leaders that generalizes the glob...

Leader election is an extensively studied problem in Ad hoc networks. In our study, we have implemented an extended idea of an existing leader election algorithm for energy saving to arbitrary topological changes. In this method, our focus is to reduce the number of leader election processes; to make it more energy efficient. Unlike the previous solutions, the algorithm proposes that each node ...

This paper studies the leader-follower formation control for multiple quadrotors. Two controllers are used. The first one is a proportional derivative controller used to ensure the tracking of the leader to the desired trajectory, while the second is based on fuzzy logic in order to achieve the desired formation in ! − ! plane with equal height (!) for all follower quadrotors. In order to ensur...

In this paper, we touch on a key theme in rural governance – the reconciliation of centralised procedures and the embedded institutions of rural society – through the lens of the evaluation procedures embedded in the European LEADER programme. LEADER is in many ways a highly devolved European initiative, true to its origins as a progressive rural laboratory in terms of innovation, stakeholder e...

In this paper, we touch on a key theme in rural governance – the reconciliation of centralised procedures and the embedded institutions of rural society – through the lens of the evaluation procedures embedded in the European LEADER programme. LEADER is in many ways a highly devolved European initiative, true to its origins as a progressive rural laboratory in terms of innovation, stakeholder e...

The identification of personality by automatic analysis of conversation has many potential applications in natural language processing, from leader identification in meetings to partner matching on dating websites. We automatically train models of the main five personality dimensions, on a corpus of conversation extracts and personality ratings. Results show that the models perform better than ...