The Plant Propagation Algorithm, epitomised by the Strawberry Algorithm, has been previously successfully tested on low dimensional continuous optimisation problems. It is a neighborhood search algorithm. In this paper, we introduce a robust and efficient version of the algorithm and explain how it can be implemented to compete with one of the best available alternatives, namely the Artificial Bee Colony algorithm and we present an improved and more effective variant on standard continuous optimisation test problem instances in high dimensions. Computational and comparative results are included
Inspired by the process of migration and reproduction of flora, this paper proposes a novel artifici...
In this thesis, a new population-based search algorithm called the Bees Algorithm (BA) is presented....
The thesis is concerned with novel Nature-Inspired heuristics for the so called NP-hard problems of ...
The Plant Propagation Algorithm, epitomised by the Strawberry Algorithm, has been previously success...
Nature-inspired algorithms are proving to be very successful on complex optimisation problems. A new...
The seasonal production of fruit and seeds resembles opening a feeding station, such as a restaurant...
The Artificial Bee Colony(ABC) algorithm is one of the best applicableoptimization algorithm. In thi...
The seasonal production of fruit and seeds is akin to opening a feeding station, such as a restauran...
Artificial Bee Colony (ABC) algorithm is a wildly used optimization algorithm. However, ABC is excel...
A proper balance between global explorations and local exploitations is often considered necessary f...
Most nature-inspired algorithms simulate intelligent behaviors of animals and insects that can move ...
This paper introduces a variant of Artificial Bee Colony algorithm and compares its results with a n...
Pathfinding is essential and necessary for agent movement used in computer games and many other appl...
Swarm intelligence of honey bees had motivated many bioinspired based optimisation techniques. The B...
Optimisation problems arising in industry are some of the hardest, often because of the tight specif...
Inspired by the process of migration and reproduction of flora, this paper proposes a novel artifici...
In this thesis, a new population-based search algorithm called the Bees Algorithm (BA) is presented....
The thesis is concerned with novel Nature-Inspired heuristics for the so called NP-hard problems of ...
The Plant Propagation Algorithm, epitomised by the Strawberry Algorithm, has been previously success...
Nature-inspired algorithms are proving to be very successful on complex optimisation problems. A new...
The seasonal production of fruit and seeds resembles opening a feeding station, such as a restaurant...
The Artificial Bee Colony(ABC) algorithm is one of the best applicableoptimization algorithm. In thi...
The seasonal production of fruit and seeds is akin to opening a feeding station, such as a restauran...
Artificial Bee Colony (ABC) algorithm is a wildly used optimization algorithm. However, ABC is excel...
A proper balance between global explorations and local exploitations is often considered necessary f...
Most nature-inspired algorithms simulate intelligent behaviors of animals and insects that can move ...
This paper introduces a variant of Artificial Bee Colony algorithm and compares its results with a n...
Pathfinding is essential and necessary for agent movement used in computer games and many other appl...
Swarm intelligence of honey bees had motivated many bioinspired based optimisation techniques. The B...
Optimisation problems arising in industry are some of the hardest, often because of the tight specif...
Inspired by the process of migration and reproduction of flora, this paper proposes a novel artifici...
In this thesis, a new population-based search algorithm called the Bees Algorithm (BA) is presented....
The thesis is concerned with novel Nature-Inspired heuristics for the so called NP-hard problems of ...