The field of metaheuristics for the application to combinatorial optimization problems is a
rapidly growing field of research. This is due to the importance of combinatorial optimization …

Besides those analysts who are already familiar with a number of heuristic methods, this
paper should also be of interest to those analysts and managers who, although not yet …

Scheduling and multicriteria optimisation theory have been subject, separately, to numerous
studies. Since the last twenty years, multicriteria scheduling problems have been subject to …

In many real life settings, high quality solutions to hard optimization problems such as flight
scheduling or load balancing in telecommunication networks are required in a short amount …

Traditional business practices have been left behind due to the increased use of data
analytics and information technology in companies worldwide. This development has led to …

The kidney is one of the organs most prominently affected by aging. This can be seen by a
loss of renal mass which is caused by a decrease in the number of nephrons resulting in …

This paper considers the problem of scheduling jobs on unrelated parallel machines to
minimize the makespan. Recovering Beam Search is a recently introduced method for …

In this paper, we focus on the solution of a hard single machine scheduling problem by new
heuristic algorithms embedding techniques from machine learning and scheduling theory …

In this paper, we consider the single machine weighted tardiness scheduling problem with
sequence-dependent setups. We present heuristic algorithms based on the beam search …

A hybrid heuristic method for combinatorial optimization problems is proposed that
combines different classical techniques such as tree search procedures, bounding schemes …