Titlebook: Swarm Intelligence; 8th International Co Marco Dorigo,Mauro Birattari,Thomas Stützle Conference proceedings 2012 Springer-Verlag Berlin Hei

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Analysing Robot Swarm Decision-Making with Bio-PEPAe biochemical systems. Its main advantage is that it allows different kinds of analyses of a swarm robotics system starting from a single description. In general, to carry out different kinds of analysis, it is necessary to develop multiple models, raising issues of mutual consistency. With Bio-PEPA

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Bare Bones Particle Swarms with Jumpsgh Kennedy’s original formulation is not competitive to standard PSO, the addition of a component-wise jumping mechanism, and a tuning of the standard deviation, can produce a comparable optimisation algorithm. This algorithm, Bare Bones with Jumps, exists in a variety of formulations. Two particula

gregarious

Hybrid Algorithms for the Minimum-Weight Rooted Arborescence Problemminent example is the automated reconstruction of consistent tree structures from noisy images. In this paper, we first propose a heuristic for tackling the minimum-weight rooted arborescence problem. Moreover, we propose an ant colony optimization algorithm. Both approaches are strongly based on dy

CHOIR

Improving the ,Ant-Miner, Classification Algorithm-Miner, called .Ant-Miner., uses the ACO procedure in a different fashion. The main difference is that the search in .Ant-Miner. is optimised to find the best list of rules, whereas in Ant-Miner the search is optimised to find the best individual rule at each step of the sequential covering, produci

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ARENA

Measuring Diversity in the Cooperative Particle Swarm OptimizerDiversity is closely linked to the exploration-exploitation tradeoff. High diversity facilitates exploration, which is usually required during the initial iterations of the optimization algorithm. A low diversity is indicative of exploitation of a small area of the search space, desired during the l

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Multi-armed Bandit Formulation of the Task Partitioning Problem in Swarm Roboticsrtitioning can be beneficial in terms of reduction of physical interference, increase of efficiency, higher parallelism, and exploitation of specialization. However, task partitioning also entails costs in terms of coordination efforts and overheads that can reduce its benefits. It is therefore impo