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This paper presents neuro-augmented vision for evolutionary robotics (NAVER), which aims to address the two biggest challenges in camera-equipped robot evolutionary controllers. The first challenge is that camera images typically require many ...

This paper presents an improved distributed ant colony optimisation algorithm for routing and spectrum assignment (RSA) on optical burst switched (OBS), flexible spectrum networks, with the spectrum continuity constraint imposed. The improved ...

Bootstrapped Neuro-Simulation is a technique in which a Neural Network Simulator, used for the evaluation of controllers during the Evolutionary Robotics process, is trained concurrently with the evolution of the controllers themselves. This removes the ...

This research proposed augmenting Evolutionary Robotics controllers with their own robotic simulator. The motivation behind this idea is that the controller could use the simulator to approximate the effects of its actions. This would allow the controller ...

Taking inspiration from the navigation ability of humans, this study investigated a method of providing robotic controllers with a basic sense of position. It incorporated robotic simulators into robotic controllers to provide them with a mechanism to ...

Bootstrapped Neuro-Simulation (BNS) is a method of concurrent simulator and robot controller evolution. The algorithm requires little domain knowledge and no pre-investigation data gathering. Additionally, it bridges the reality gap ...

• Bootstrapped Neuro-Simulation is shown to evolve closed-loop controllers.
• The ...

The ability of an Ant Colony Optimization (ACO) algorithm to adapt on a dynamical network is considered. A previous ACO implementation which was tested on a static Optical Burst Switched (OBS) network with impairments has been altered to be simulated on ...

In the last decade, hardware advancements have allowed for neural networks to become much larger in size. Dropout is a popular deep learning technique which has shown to improve the performance of large neural networks. Recurrent neural networks are ...

The Evolutionary Robotics process requires the evaluation of large numbers of robot controllers in order to determine their relative fitnesses. The evaluation of many controllers is typically performed in simulation instead of real-world hardware in ...

The inverted pendulum control problem is a classical benchmark in control theory. Amongst the approaches to developing control programs for an inverted pendulum, the evolution of Artificial Neural Network (ANN) based controllers has received some ...

Evolutionary Robotics (ER) is a field of study that has shown much promise in automating the development of robotic controllers and morphologies. The use of simulators as an alternative to real-world robots is often employed to reduce the time required ...

Evolutionary Robotics (ER) strives for the automatic creation of robotic controllers and morphologies. The ER process is normally performed in simulation in order to reduce the time required and robot wear. Simulator development is a time consuming ...

World Congress on Nature and Biologically Inspired Computing (NaBIC) is organized to discuss the state-of-the-art as well as to address various issues with respect to Nurturing Intelligent Computing Towards Advancement of Machine Intelligence. This ...

Several algorithms aimed at dynamic optimisation problems have been developed. This paper reports on the incorporation of a self-adaptive Brownian radius into competitive differential evolution (CDE). Four variations of a novel technique to achieving ...

The Upper Confidence for Trees (UCT) algorithm has been shown to perform well in complex games, but samples undesirable areas of the search space when building its game tree. This paper explores the design and parametric considerations for augmenting ...

This paper presents an exploration into the relationship between Chomsky problem complexity, as defined by Theory of Computation, and the computational requirements to evolve solutions to these problems. Genetic programming is used to explore these ...

Database system development is a code intensive, time consuming task for a developer. It is suggested that the underlying database and program code can be inferred from a well designed Graphical User Interface (GUI). GUI analysis DEvelopment (GUIDE) is ...

It is not apparent to employ an Artificial Neural Network (ANN) as simulator structure during the Evolutionary Robotics (ER) process. Consequently, the potential for the use of an ANN in this regard has been investigated in this paper. This simulator ...

This paper describes a hybrid approach to creating computer players for zero-sum games. This novel approach consists of a modified Minimax algorithm and a neural network. The standard Minimax algorithm requires too much processing time to be useful in ...

The usability of touch-tone Interactive Voice Response (IVR) systems is dismal. Clients would rather speak to a contact centre agent than navigate through the menu structure found in these systems. Contact centres, due to a variety of reasons, most ...