Swarms of mobile software agents, imitating the behav-ior of insects, can solve complex tasks. Such agents in-dividually have simple behavior. However, as a collec-tive unit, constructive behavior emerges, as it does in in-sect colonies. The problem we address is optimizing the distribution of objects with partial replication over a com-puter network. We present a new approach, implemented as a prototype, based on swarm intelligence. The system performs dynamic, event-driven, distributed load balanc-ing. Every node of the network is capable of producing new events and introducing them into the network for com-putation. The architecture is general and can be used as a support for clustering and task allocation applications. KEY WORDS Swarm i...
Large-scale individual-based simulations can benefit a lot from high perfor-mance computing environm...
Abstract. The escalating complexity and mobility of today’s networks has led to the increased applic...
This paper describes how multiple interacting swarms of adaptive mobile agents can be used to locate...
We address the problem of optimizing the distribution of partially replicated databases over a compu...
This paper describes how multiple interacting swarms of adaptive mobile agents can be used to solve ...
Dynamic allocation of agents to a set of tasks is a hard problem. Furthermore, having too few or too...
In today’s world, smart-phones and tablets have allowed cloud computing to realize it’s true potenti...
© Springer International Publishing AG 2017. We study the distributed task allocation problem in mul...
The Mobile Agent paradigm can increase the flexibility in the creation of distributed applications (...
This paper describes an adaptive task assignment method for a team of fully distributed mobile robot...
Abstract — This paper describes an original approach to writing reactive algorithms on highly dynami...
This paper describes an adaptive task assignment method for a team of fully distributed mobile robot...
This paper describes an adaptive task assignment method for a team of fully distributed mobile robot...
AbstractThis paper presents a multi-agent distributed framework for Swarm Intelligence (SI) based on...
. This paper describes how multiple interacting swarms of adaptive mobile agents can be used to loca...
Large-scale individual-based simulations can benefit a lot from high perfor-mance computing environm...
Abstract. The escalating complexity and mobility of today’s networks has led to the increased applic...
This paper describes how multiple interacting swarms of adaptive mobile agents can be used to locate...
We address the problem of optimizing the distribution of partially replicated databases over a compu...
This paper describes how multiple interacting swarms of adaptive mobile agents can be used to solve ...
Dynamic allocation of agents to a set of tasks is a hard problem. Furthermore, having too few or too...
In today’s world, smart-phones and tablets have allowed cloud computing to realize it’s true potenti...
© Springer International Publishing AG 2017. We study the distributed task allocation problem in mul...
The Mobile Agent paradigm can increase the flexibility in the creation of distributed applications (...
This paper describes an adaptive task assignment method for a team of fully distributed mobile robot...
Abstract — This paper describes an original approach to writing reactive algorithms on highly dynami...
This paper describes an adaptive task assignment method for a team of fully distributed mobile robot...
This paper describes an adaptive task assignment method for a team of fully distributed mobile robot...
AbstractThis paper presents a multi-agent distributed framework for Swarm Intelligence (SI) based on...
. This paper describes how multiple interacting swarms of adaptive mobile agents can be used to loca...
Large-scale individual-based simulations can benefit a lot from high perfor-mance computing environm...
Abstract. The escalating complexity and mobility of today’s networks has led to the increased applic...
This paper describes how multiple interacting swarms of adaptive mobile agents can be used to locate...