Der Beitrag stellt ein Simulated Annealing-Verfahren zur Lösung des um Zeitfensterrestriktionen erweiterten Standardproblems vor. Die Zielfunktion berücksichtigt zwei Zielkriterien, die Minimierung der Fahrzeuganzahl als primäres und die Minimierung der Gesamtentfernung als sekundäres...

This paper presents and compares three heuristics for the combinatorial auctionproblem. Besides a simple greedy (SG) mechanism, two metaheuristics, a simulatedannealing (SA), and a genetic algorithm (GA) approach are developedwhich use the combinatorial auction process to an allocation with...

We study properties of the solutions to a parametrized constrained optimization problem in Hilbert spaces. A special operator is studied which is of importance in economic theory; sufficient conditions are given for its existence, symmetry, and negative semidefiniteness. The techniques used are...

Over the last few decades several methods have been proposed for handling functional constraints while solving optimization problems using evolutionary algorithms (EAs). However, the presence of equality constraints makes the feasible space very small compared to the entire search space. As a...

We present and evaluate a numerical optimization method (together with an algorithm for choosing the starting values) pertinent to the constrained optimization problem arising in the estimation of the GARCH models with inequality constraints, in particular the Simplified Component GARCH Model...

The paper proposes a primal-dual algorithm for solving an equality constrained minimization problem. The algorithm is a Newton-like method applied to a sequence of perturbed optimality systems that follow naturally from the quadratic penalty approach. This work is first motivated by the fact...

Professional economists rarely write on questions of genocide. This surprises because a workhorse tool of the economics discipline concerns the analysis of behavior that takes place under constraints. All parties in genocide—perpetrators, victims, and third parties—face cost and resource...