Prediction in financial domains is notoriously difficult for a number ofreasons. First, theories tend to be weak or non-existent, which makesproblem formulation open ended by forcing us to consider a large numberof independent variables and thereby increasing the dimensionality ofthe search...

Models with heterogeneous interacting agents explain macro phenomena through interactions at the micro level. We propose genetic algorithms as a model for individual expectations to explain aggregate market phenomena. The model explains all stylized facts observed in aggregate price fluctuations...

The application of Visible and Near-Infrared (VIS/NIR) spectroscopy to determine economic adulteration of crabmeat was determined. Crabmeat samples were adulterated in 10% increments according to weight. The adulterants chosen were surimi-based imitation crabmeat, due to its low cost and...

We present new metaheuristics for solving real crew scheduling problems in a public transportation bus company. Since the crews of these companies are drivers, we will designate the problem by the bus-driver scheduling problem. Crew scheduling problems are well known and several mathematical...

This paper presents a new approach to solve the short-term unit commitment problem using genetic algorithm-based simulated annealing method for utility system. The objective of this paper is to find the generation scheduling such that the total operating cost can be minimised when subjected to a...

This paper proposes a genetic-based hybrid approach to predict the possibility of corporate failure. We use Genetic Algorithm (GA) to select the critical variables set and optimise the weight of each classifier for integrating the best features of several classification approaches (such as...

Trust research is traditionally found in marketing, economics, psychology, sociology and organisational behaviour literatures. Complexity theory provides an alternative lens through which to conceptualise trust. Three complexity theories (adaptation, self-organisation and self-organised...