A Letter to Nature demonstrated that a simple ant-inspired ‘tandem calling’ recruitment mechanism improved task performance in a group of robots. In these experiments a group of robots attempt to locate ‘food’ and return it to base. On its return a successful robot tries to recruit another to help exploit its find. As a result a population of robots rapidly expands to exploit the resource, resulting in greater foraging efficacy. In this note we observe that the type of recruitment and information sharing mechanism employed by the robots is one instance of a general class of Swarm Intelligence parallel search and optimisation methods, known as Stochastic Diffusion Search (SDS)
The integration of Swarm Intelligence (SI) algorithms and Evolutionary algorithms (EAs) might be one...
This study reports early research aimed at applying the powerful resource allocation mechanism deplo...
An environment can be searched far more efficiently if the appropriate search strategy is used. Beca...
Stochastic Diffusion Search, first incepted in 1989, belongs to the extended family of swarm intelli...
This article presents the long-term behaviour analysis of Stochastic Diffusion Search (SDS), a distr...
This article presents the long-term behaviour analysis of Stochastic Diffusion Search (SDS), a distr...
Stochastic Diffusion Search, first incepted in 1989, belongs to the extended family of swarm intelli...
The term Swarm Robotics collectively refers to a population of robotic devices that efficiently unde...
The concept of partial evaluation of ¯tness functions, together with mechanisms manipulating the res...
This work details early research aimed at applying the powerful resource allocation mechanism deploy...
This dissertation investigates two natural systems that use distributed search algorithms and tests ...
Stochastic diffusion search (SDS) is a multi-agent global optimisation technique based on the behavi...
This work details the research aimed at applying the powerful resource allocation mechanism deployed...
This study reports early research aimed at applying the powerful resource allocation mechanism deplo...
Stochastic Diffusion Search (SDS) is a Swarm Intelligence algorithm in which a population of homogen...
The integration of Swarm Intelligence (SI) algorithms and Evolutionary algorithms (EAs) might be one...
This study reports early research aimed at applying the powerful resource allocation mechanism deplo...
An environment can be searched far more efficiently if the appropriate search strategy is used. Beca...
Stochastic Diffusion Search, first incepted in 1989, belongs to the extended family of swarm intelli...
This article presents the long-term behaviour analysis of Stochastic Diffusion Search (SDS), a distr...
This article presents the long-term behaviour analysis of Stochastic Diffusion Search (SDS), a distr...
Stochastic Diffusion Search, first incepted in 1989, belongs to the extended family of swarm intelli...
The term Swarm Robotics collectively refers to a population of robotic devices that efficiently unde...
The concept of partial evaluation of ¯tness functions, together with mechanisms manipulating the res...
This work details early research aimed at applying the powerful resource allocation mechanism deploy...
This dissertation investigates two natural systems that use distributed search algorithms and tests ...
Stochastic diffusion search (SDS) is a multi-agent global optimisation technique based on the behavi...
This work details the research aimed at applying the powerful resource allocation mechanism deployed...
This study reports early research aimed at applying the powerful resource allocation mechanism deplo...
Stochastic Diffusion Search (SDS) is a Swarm Intelligence algorithm in which a population of homogen...
The integration of Swarm Intelligence (SI) algorithms and Evolutionary algorithms (EAs) might be one...
This study reports early research aimed at applying the powerful resource allocation mechanism deplo...
An environment can be searched far more efficiently if the appropriate search strategy is used. Beca...