This paper gives a review on existing scheduling methodologies developed for process
industries. Above all, the aim of the paper is to focus on the industrial aspects of scheduling …

In the past few decades, metaheuristics have demonstrated their suitability in addressing
complex problems over different domains. This success drives the scientific community …

Research in metaheuristics for combinatorial optimization problems has lately experienced
a noteworthy shift towards the hybridization of metaheuristics with other techniques for …

A simulation optimization framework is proposed for supply chain inventory management of
highly perishable products. A new replenishment policy based on old inventory ratio is …

In clinical practice, red blood cells (RBCs) have a maximal shelf life (MSL) of 42 days.
Recent studies suggest managing RBC inventory with a more restrictive MSL. To this end, a …

Designing generic problem solvers that perform well across a diverse set of problems is a
challenging task. In this work, we propose a hyper-heuristic framework to automatically …

Abstract Although Cuckoo Search (CS) is a quite new nature-inspired metaheuristic
optimization algorithm, it has been extensively used in engineering applications, since it has …

The design of hybrid metaheuristics with ideas taken from the simulated annealing and
evolutionary algorithms fields is a fruitful research line. In this paper, we first present an …

In this study, a maximal covering location problem is investigated. In this problem, we want
to maximize the demand of a set of customers covered by a set of p facilities located among …

This paper presents three hybrid metaheuristic algorithms that further improve the two hybrid
differential evolution (DE) metaheuristic algorithms described in Liao [1]. The three improved …