Vorliegendes Arbeitspapier beschreibt den entsprechenden Einsatz künstlicher Ameisen und diskutiert erste numerische Ergebnisse.

In this paper we propose a multi-colony Ant System, where the colonies solve a multi-objective optimization problem concerned with goods transportation.

Ant Colony Optimization is a relatively new meta-heuristic that has proven its quality and versatility on various combinatorial optimization problems such as the traveling salesman problem, the vehicle routing problem and the job shop scheduling problem.(...)

The ant system is a new meta-heuristic for hard combinatorial optimization problems. It is a population-based approach that uses exploitation of positive feedback as well as greedy search. It was first proposed for tackling the well known Traveling Salesman Problem (TSP), but has been also...

The paper shows how a particular optimization heuristic, called threshold accepting, can be successfully used to solve complex portfolio choice problems.

We study a number of large international military conflicts sinceWorld War II where we establish a news analysis as a proxy for theestimated likelihood that the conflict will result in a war. We findthat in cases when there is a pre-war phase, an increase in the warlikelihood tends to decrease...

This paper introduces a bi-objective winner determination problem which arises in the procurement oftransportation contracts via combinatorial auctions. The problem is modelled as an extension to the setcovering problem and considers the minimisation of the total procurement costs and the...

This paper examines the puzzlingly high unexploited momentum returns from a new perspective.We analyze characteristics of momentum traders in a sample of 692 fund managers. Wefind that momentum traders are “defined” by their short-term horizon, by a behavioural viewon the market and by a...