Titlebook: Swarm Intelligence; 7th International Co Marco Dorigo,Mauro Birattari,Thomas Stützle Conference proceedings 2010 Springer-Verlag Berlin Hei

腐蝕

Antbots: A Feasible Visual Emulation of Pheromone Trails for Swarm Robotsint. We have built two custom addons for the e-puck robot that allow for trail laying and following on the glowing floor, as well as a way for the robots to mimic the ants capability of using polarization patterns as a means of navigation. Using simulations we show that our approach allows for effic

irritation

Automatic Configuration of Multi-Objective ACO Algorithmsoblems. In this paper, we propose a software framework that allows to instantiate the most prominent multi-objective ACO (MOACO) algorithms. More importantly, the flexibility of this MOACO framework allows the application of automatic algorithm configuration techniques. The experimental results pres

Flat-Feet

Autonomous Morphogenesis in Self-assembling Robots Using IR-Based Sensing and Local Communicationsomous and controlled using a behaviour-based approach with only infrared-based local sensing and communications. A graph-based recruitment strategy is proposed to guide the growth of 2D planar organisms, and local communications are used to self-organise the behaviours of robots during the morphogen

Crepitus

Autonomous Multi-agent Cycle Based Patrollingagents. The agents have little memory, they can not communicate and their sensing abilities are local. Furthermore, the agents do not possess any knowledge regarding the graph or the swarm size. However, the agents may mark the graph vertices with pheromone stamps which can later be sensed. These ma

殘酷的地方

Biologically Realistic Primitives for Engineered Morphogenesiss, will require both high-level understanding of organizing principles in such systems and low-level understanding of how basic tools can be reliably implemented in real cells. Past work has assumed low-level capabilities appropriate to computing agents but not necessarily to biology. Here I discuss

Vaginismus

minion

Evolution of Self-organised Path Formation in a Swarm of Robotst areas, which are too distant to be perceived by an agent at the same time. Robots within the path continuously move back and forth between the two locations, exploiting visual interactions with their neighbours. The global group behaviour is obtained through an evolutionary process and presents em

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Extensions to the Ant-Miner Classification Rule Discovery Algorithmf a logical negation operator in the antecedents of constructed rules; 2) we use stubborn ants, an ACO-variation in which an ant is allowed to take into consideration its own personal past history; 3) we use multiple types of pheromone, one for each permitted rule class, i.e. an ant would first sele

哥哥噴涌而出

Functional Blueprints: An Approach to Modularity in Grown Systemsand, a grown system must be capable of surviving not only in its final form, but at every intermediate stage, despite the fact that its subsystems may grow unevenly or be subject to different scaling laws. On the other hand, the ability to grow offers much greater potential for adaptation, either to

Congeal

Heterogeneous Particle Swarm Optimizationimplement the same velocity and position update rules. This means that particles exhibit the same search characteristics. A heterogeneous PSO (HPSO) is proposed in this paper, where particles are allowed to follow different search behaviours selected from a behaviour pool, thereby efficiently addres