This paper presents the perspective of a range of practising South African artists on the contextual factors influencing the recent surge in artistic creativity and innovation in their country. In particular, the ‘edginess’ of the everyday contexts of artistic endeavour is seen as a source of transformative learning for those having the courage to engage with it. Through such ‘dangerous’ learni...

Procedural content generation (PCG) is typically considered a feature of digital games. Commonly cited “first” uses of PCG are usually digital games from the early 1980s: Rogue or Elite. However, when broadly construed, PCG simply means that content is generated following a formal procedure—the agent that enacts this procedure is merely assumed to be a computer. The precursors to what we now ca...

In this paper we first provide a thorough performance comparison of the three main Ant Colony Optimization (ACO) paradigms for the Vehicle Routing Problem (VRP), namely the Rank based Ant System, the Max-Min Ant System and the Ant Colony System. Based on the results of this comparison we then implement a parallelization strategy to increase computational efficiency and study the effects of incr...

Context: Emergence is a term used to describe complex patterns or systems which are formed from very basic rules or agents. Once such example which has intrigued scientists across several fields has been ant colonies. Computer scientists are particularly interested in ant colonies as although each individual ant acts in a very simple manor, the ant colony as a whole is able to find shortest pat...

Ant miner is a data mining algorithm based on Ant Colony Optimization (ACO). Ant miner algorithms are mainly for discovery rule for optimization. Ant miner + algorithm uses MAX-MIN ant system for discover rules in the database. Soil classification deals with the systematic categorization of soils based on distinguished characteristics as well as criteria. The proposed model delivers to Ant mine...

A mathematical model for a neural control system of ant locomotion was developed. Contrast-based detectors using excitation and inhibition were tuned to specific contrast orientations. A control system using multiple orientation contrast detectors was then developed and optimized for a model ant, which could move via a biased random walk. The system allowed sufficient control to guide the ant t...

The maintenance scheduling of thermal generators is a large-scale combinatorial optimization problem with constraints. In this paper we introduce the Max-Min Ant System based version of the Ant System. This algorithm reinforces local search in neighborhood of the best solution found in each iteration while implementing methods to slow convergence and facilitate exploration.Max-Min Ant System (M...