Now showing items 1-8 of 8
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, ...
A bid-unbalancing method for lowering a contractor's financial risk
A method is presented for unbalancing bids and optimizing the allocation of overall project profits to individual activities by considering the financial parameters of a project (bid mark-up and projected cash flow), in ...
Optimized retrofit of multi-storey buildings using seismic isolation at various elevations: assessment for several earthquake excitations
This work is concerned with the seismic retrofit of multi-storey buildings by installing isolation devices at various levels along their height. The design of an effective retrofit solution of this type requires the selection ...
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 ...
Disorder considerations in resource-constrained scheduling
A method is presented for allocating resources to construction activities and for scheduling construction projects under resource constraints by considering the effects that such resource limitations may have on the tendency ...
Entropy-Based Sensor Placement Optimization for Waterloss Detection in Water Distribution Networks
The work presented herein addresses the problem of sensor placement optimization in urban water distribution networks by use of an entropy-based approach, for the purpose of efficient and economically viable waterloss ...
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)
Construction imitating ants: Resource-unconstrained scheduling with artificial ants
The paper presents a methodology to arrive at critical path calculations in construction networks by imitating the natural selection processes utilized by real-life ants in search of shortest paths to a food source, and ...