Titlebook: Swarm Intelligence; 9th International Co Marco Dorigo,Mauro Birattari,Thomas Stützle Conference proceedings 2014 Springer International Pub

sleep-spindles

Diversity Rate of Change Measurement for Particle Swarm Optimisers,shown that, when comparing the measure among different algorithms, the measure reflects the differences in the behaviour of algorithms in terms of their exploration-exploitation trade-off. The measure can potentially be used to characterise and classify different algorithms based on algorithm behaviour.

forecast

Evolutionary Swarm Robotics: Genetic Diversity, Task-Allocation and Task-Switching,e genetically heterogeneous. We show that the . outperforms the . for the design of robot teams engaged in two task-allocation scenarios, and that heterogeneous teams tend to rely on less plastic strategies. The significance of this study for evolutionary swarm robotics is discussed and directions for future work are indicated.

鼓掌

Scheduling a Galvanizing Line by Ant Colony Optimization,sity arose to develop an intelligent algorithm able to optimize the scheduling, avoiding traditional manual calculations. Hence, ACO is proposed to translate the scheduling rules and current criteria into a set of technical constraints and cost functions to assure a good solution in a short calculation time.

debouch

SRoCS: Leveraging Stigmergy on a Multi-robot Construction Platform for Unknown Environments,gy, a mechanism of indirect coordination that is robust and adaptive. In this paper, we propose the design of a multi-robot construction platform called the Swarm Robotics Construction System (SRoCS). The SRoCS platform is designed to leverage stigmergy in order to coordinate multi-robot construction in unknown environments.

積習(xí)難改

GRUEL

synovium

懶洋洋

An ACO Algorithm to Solve an Extended Cutting Stock Problem for Scrap Minimization in a Bar Mill,ce of the cutting stock problem with additional constraints due to the ordering of the layers and relationships between orders spanning more than one layer..We develop an ACO algorithm with a heuristic based on efficient patterns for search space reduction and for tackling the difficulty of building

亞當(dāng)心理陰影

An Experiment in Automatic Design of Robot Swarms,of multiple design methods: we compare swarms designed by two automatic methods—. and .—with swarms manually designed by human experts. . and . have been previously published and tested on two tasks. To evaluate their generality, in this paper we test them without any modification on five new tasks.

不怕任性

Angle Modulated Particle Swarm Variants,ithm are identified and the proposed variants aim to remove these limitations. The new variants are then compared to AMPSO on a number of binary problems in various dimensions. It is shown that the performance of the variants is superior to AMPSO in many problem cases. This indicates that the identi