The edge-set encoding is a direct tree encoding which applies search oper-ators directly to trees represented as sets of edges. There are two variantsof crossover operators for the edge-set encoding: With heuristics that con-sider the weights of the edges, or without heuristics. Due to a strong...

Metaheuristics, such as evolutionary algorithms or simulated annealing,are widely applicable heuristic optimization strategies that have shownencouraging results for a large number of diffcult optimization problems.To show high performance, metaheuristics need to be adapted to theproperties of...

The edge-set encoding is a direct tree representation which directly representstrees as sets of edges. There are two variants of the edge-set encoding:the edge-set encoding without heuristics, and the edge-set encoding withheuristics. An investigation into the bias of the edge-set encoding...

This paper focuses on Single machine scheduling subject to inventory constraints. Jobs add and remove items to and from, respectively, the inventory. Jobs that remove items cannot be processed if the required number of items is not available. We consider scheduling problems on a Single machine...

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...

Commonly used classification and regression tree methods like the CART algorithm are recursive partitioning methods that build the model in a forward stepwise search. Although this approach is known to be an efficient heuristic, the results of recursive tree methods are only locally optimal, as...

Even if the correct modeling of default dependence is essential for the valuation of portfolio credit derivatives, for the pricing of synthetic CDOs a one-factor Gaussian copula model with constant and equalpairwise correlationsfor all assets in the reference portfolio has become the standard...

We investigate the robustness of existing methods to calibrate the Cheyette interest rate model to at-the-money swaption, caps and floors. Existing algorithms may fail, because they suffer from numerical instability of derivatives. Therefore, we apply derivative-free techniques and find that...

The paper presents a detailed documentation of the underlying concepts and methods of the Spatial Agent-based Competition Model (SpAbCoM). For instance, SpAbCoM is used to study firms' choices of spatial pricing policy (GRAUBNER et al., 2011a) or pricing and location under a framework of...

This article explores the influence of competitive conditions on the evolutionary fitness of different risk preferences. As a practical example, the professional competition between fund managers is considered. To explore how different settings of competition parameters, the exclusion rate and...