Simulation models are becoming increasingly common in the analysis of critical scientific, policy, and management issues.Such models provide a way to analyze complex systems characterized by both large parameter spaces and nonlinear interactions. Unfortunately, these same characteristics make...

We analyze the learning behaviour of a Simple Genetic Algorithm in an overlapping generations model with one consumption good and fiat money. It is shown by simulations, that in cases where periodic equilibria exist the equilibrium of period two is learned by a Genetic Algorithm and not the...

Presents a new qualitative fault tree evaluation algorithm based on bit manipulation techniques for the identification of the largest independent sub‐trees and the subsequent determination of all minimal cut sets of large and complex fault trees. The methodology developed is validated by...

Proposes a heuristic iterative scheduling algorithm for the resource constrained project scheduling problem. Considers a general model where activities are represented by multiple operating modes and each operating mode is constituted of different activity durations and resource requirements....

Proposes a two‐stage procedure to design a group technology system. Formulates a 0‐1 quadratic programming model to allocate machines to machine cells and a criterion to form corresponding part families for group technology. The majority of current approaches assume only one copy of a...