This paper studies an adaptive artificial agent model using a genetic algorithm to analyze how a population of decision-makers learns to coordinate on the selection of an equilibrium or a social convention in a two-sided matching game. In the contexts of centralized and decentralized entry-level...

The problem of assigning locomotives to trains consists of selecting the types and number of engines that minimize the fixed and operational locomotive costs resulting from providing sufficient power to pull trains on fixed schedules. The force required to pull a train is often expressed in...

This article discusses the concept of RTS (Returns To Scale) in the framework of DEA (Data Envelopment Analysis) production and cost analyses, focusing on an occurrence of multiple solutions and how to deal with such a difficulty. Dual relationships between production-based and cost-based RTS...

Models have become standard tools in energy planning. Fast computers and ever improving optimisation packages now allow us to solve problems within a few minutes that were out of range 20 years ago and that 10 years ago could only be solved in several CPU-hours. Fully interactive data bank...

In this paper we derive a lower bound on the average complexity of the Simplex-Method as a solution-process for linear programs (LP) of the type: We assume these problems to be randomly generated according to the Rotation-Symmetry-Model: *Let a 1 ,…,a m , v be distributed independently,...