The quality of a chosen partner can be one of the most significant factors affecting an animal's long-term reproductive success. We investigate optimal mate choice rules in an environment where there is both local variation in the quality of potential mates within each local mating pool and...

Nowadays railway companies are confronted with high infrastructure maintenance costs. Therefore good strategies are needed to carry out these maintenance activities in a most cost effective way. In this paper we solve the preventive maintenance scheduling problem (PMSP) using genetic algorithms,...

This work presents a proposal of usage of genetic algorithm to short-term forecasting of price and volume quotations. Presented algorithm resembles the naive method with seasonality but a lag of observation used as predictor can change in order to achieve best adjustment of ex post prognosis to...

The genetic algorithm is numbered among less formal methods which allows using it in different areas including forecasting. However, there is a question about efficiency of that instrument. We decided to check inner procedures of the algorithm affecting gaining speed and quality of solutions. We...

A key task of advertising media planners is to determine the best media schedule of advertising exposures for a certain budget. Conceptually, the planner could choose to do continuous advertising (i.e., schedule ad exposures evenly over all weeks) or follow a strategy of pulsing (i.e., advertise...

This paper presents a hybrid genetic algorithm for a dynamic continuous berth allocation and quay crane scheduling problem. In the first phase of the algorithm, vessels are positioned at berthing locations and quay cranes are assigned to vessels using novel crane assignment heuristics. In the...