Now showing items 1-3 of 3
Bid mark-up selection using artificial neural networks and an entropy metric
The purpose of the paper is to perform bid mark-up optimisation through the use of artificial neural networks (ANN) and a metric of the selected bid mark-up's derived entropy. The scope is to provide an alternative, ...
Traffic Modeling and College-Bus Routing Using Entropy Maximization
A method is presented by which traffic flow estimation between known origins and destinations can be evaluated based on a modified entropy model, and by which bus-routing optimization can be performed. The traffic flow ...
Scheduling Resource-Constrained Projects with Ant Colony Optimization Artificial Agents
The paper presents a methodology to schedule resource-constrained construction projects by use of algorithms based on ant colony optimization (ACO)