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Scheduling Resource-Constrained Projects with Ant Colony Optimization Artificial Agents
(2010)
The paper presents a methodology to schedule resource-constrained construction projects by use of algorithms based on ant colony optimization (ACO)
The Science in Human Intuition: Optimum Bid Markup Calculations in Competitive Bidding Environments Using Probabilistic Neural Networks
(2000)
The study presented in this paper seeks the development of a model to be used by the construction industry for optimum bid markup calculations in static and non-static competitive bidding environments. The framework presented ...
Construction imitating ants: Resource-unconstrained scheduling with artificial ants
(2009-05)
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 ...