In our recent research, we implemented an enhancement of Ant Colony Optimization incorporating the socio-cognitive dimension of perspective taking. Our initial results suggested that increasing the diversity of ant population - introducing different pheromones, different species and dedicated inter-species relations - yielded better results. In this paper, we explore the diversity issue by introducing novel diversity measurement strategies for ACO. Based on these strategies we compare both classic ACO and its socio-cognitive variation
This intensification and diversification in Ant Colony Optimization (ACO) is the search strategy to ...
This is the author accepted manuscript. The final version is available from Springer Verlad via the ...
The Ant Colony Optimisation algorithm framework here-on referred to as ACO is a new algorithmic fram...
In our recent research, we implemented an enhancement of Ant Colony Optimization incorporating the s...
Finding a balance between exploration and exploitation is very important in the case of metaheuristi...
Ant colony optimization (ACO), which is one of the metaheuristics imitating real ant foraging behavi...
A metaheuristic proposed by us recently, Ant Colony Optimization (ACO) hybridized with socio-cognit...
Recently we proposed an application of ant colony optimization (ACO) to simulate socio-cognitive fea...
A metaheuristic proposed by us recently, Ant Colony Optimization (ACO) hybridized with socio-cogniti...
A metaheuristic proposed by us recently, Ant Colony Optimization (ACO) hybridized with socio-cogniti...
In ant colony optimization (ACO) methods, including Ant System and MAX-MIN Ant System, each ant stoc...
Abstract. Ant Colony Optimisation (ACO) algorithms are inspired by the foraging behaviour of real an...
We present an application of Ant Colony Optimisation (ACO) to simulate socio-cognitive features of a...
This is the author accepted manuscript. The final version is available from the publisher via the li...
AbstractWe present an application of Ant Colony Optimisation (ACO) to simulate socio-cognitive featu...
This intensification and diversification in Ant Colony Optimization (ACO) is the search strategy to ...
This is the author accepted manuscript. The final version is available from Springer Verlad via the ...
The Ant Colony Optimisation algorithm framework here-on referred to as ACO is a new algorithmic fram...
In our recent research, we implemented an enhancement of Ant Colony Optimization incorporating the s...
Finding a balance between exploration and exploitation is very important in the case of metaheuristi...
Ant colony optimization (ACO), which is one of the metaheuristics imitating real ant foraging behavi...
A metaheuristic proposed by us recently, Ant Colony Optimization (ACO) hybridized with socio-cognit...
Recently we proposed an application of ant colony optimization (ACO) to simulate socio-cognitive fea...
A metaheuristic proposed by us recently, Ant Colony Optimization (ACO) hybridized with socio-cogniti...
A metaheuristic proposed by us recently, Ant Colony Optimization (ACO) hybridized with socio-cogniti...
In ant colony optimization (ACO) methods, including Ant System and MAX-MIN Ant System, each ant stoc...
Abstract. Ant Colony Optimisation (ACO) algorithms are inspired by the foraging behaviour of real an...
We present an application of Ant Colony Optimisation (ACO) to simulate socio-cognitive features of a...
This is the author accepted manuscript. The final version is available from the publisher via the li...
AbstractWe present an application of Ant Colony Optimisation (ACO) to simulate socio-cognitive featu...
This intensification and diversification in Ant Colony Optimization (ACO) is the search strategy to ...
This is the author accepted manuscript. The final version is available from Springer Verlad via the ...
The Ant Colony Optimisation algorithm framework here-on referred to as ACO is a new algorithmic fram...