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...

We develop a genetic algorithm that is able to find the optimal sequence of exchange rates that maximizes arbitrage profits with more than three currencies, being both the triangular arbitrage and the direct exchange rate two special cases of the proposed algorithm. Applying the algorithm to the...

We develop an evolutionary algorithm to estimate Threshold Vector Error Correction models (TVECM) with more than two cointegrated variables. Since disregarding a threshold in cointegration models renders standard approaches to the estimation of the cointegration vectors inefficient, TVECM...