The full-information secretary problem in which the objective is to minimize the expected rank is seen to have a value smaller than 7/3 for all n (the number of options). This can be achieved by a simple memoryless threshold rule. The asymptotically optimal value for the class of such rules is about 2.3266. For a large finite number of options, the optimal stopping rule depends on the whole seq...

In a symmetric information voting model, an individual (politician) can influence voters’ choices by strategically designing a policy experiment (public signal). We characterize the politician’s optimal experiment. With a non-unanimous voting rule, she exploits voters’ heterogeneity by designing an experiment with realizations targeting different winning coalitions. Consequently, under a simple...

We establish necessary conditions of optimality for discrete-time infinite-horizon optimal control in presence of constraints at infinity. These necessary conditions are in form of weak and strong Pontryagin principles. We use a functional analytic framework and multipliers rules in Banach (sequence) spaces. We establish new properties on Nemytskii operators in sequence spaces. We also provide ...

Oil price shocks are the main source of macroeconomic fluctuations in oil exporting countries. It is believed that appropriate monetary policy can help to stabilize these unwanted variations toward optimal allocations. A stochastic dynamic general equilibrium model featuring the properties of both cost push and wealth effect transmission channels is developed for the Iranian economy. In thi...

The primary goal of the research reported in this paper is to identify what criteria are responsible for the good performance of a heuristic rule evaluation function in a greedy topdown covering algorithm. We first argue that search heuristics for inductive rule learning algorithms typically trade off consistency and coverage, and we investigate this trade-off by determining optimal parameter s...

In this chapter, we discuss the application of evolutionary multiobjective optimization (EMO) to association rule mining. Especially, we focus our attention on classification rule mining in a continuous feature space where the antecedent and consequent parts of each rule are an interval vector and a class label, respectively. First we explain evolutionary multiobjective classification rule mini...

In this paper, the minimization of the maximum aggregate inventory of all products for the common cycle time approach to the scheduling problem of a multi-products single machine system is considered. In the case of non-zero set up time and limited resources, a simply and easy to apply rule has been obtained for this optimization problem. Using this rule, one can obtain the optimal production s...