The present article provides an unorthodox model exchange rate dynamics based on conventions that prevail among market participants. We build a theoretical model that highlights the mechanisms underlying the formation of market conventions. We then test this model empirically on the euro/dollar...

Based on evolutionist theories and project management knowledge, a connectionist model based on genetic algorithm is built to simulate innovation process in organizations. Transformation and selection produce micro dynamics to create macro behavior in the agents' population. Results clarify...

The dilemma between radical and market innovations is unlighted here by a simulation. Following evolutionist theory and innovation management, an agent-based model issued from genetic algorithm is built. In a perfect world, transformation and selection create dynamics and emergence in an agent...

Nowadays railway companies are confronted with high infrastructure maintenance costs. Therefore good strategies are needed to carry out these maintenance activities in a most cost effective way. In this paper we solve the preventive maintenance scheduling problem (PMSP) using genetic algorithms,...

This paper addresses the problem of scheduling economic lots in a multi-product single machine environment. A mixed integer non-linear programming formulation is developed which finds the optimal sequence and economic lots. The model takes explicit account of initial inventories, setup times,...