This article provides a survey on the highly popular metaheuristic framework, the adaptive
large neighborhood search (ALNS). The basic concepts of ALNS are discussed in this …

In industry, production is often organized in the form of a hybrid flow shop, and there is great
interest in methods and algorithms for optimizing such production processes. While, thus far …

Cloud-fog computing frameworks are emerging paradigms developed to add benefits to the
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …

The hybrid renewable energy system (HRES) has been presented as the most studied
solution for improving the sustainability of energy production infrastructures in isolated …

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

The manufacturing industry directly reflects the productivity level of a country and plays an
important role in economic and social development. However, with the development of the …

The resource-constrained project scheduling problem is to schedule activities subject to
precedence and resource constraints such that the makespan is minimized. It has become a …

Production planning, scheduling and sequencing comprise the core of the manufacturing
companies' performance. The new and changing market demands make manufacturing a …

Following decades of sustained improvement, metaheuristics are one of the great success
stories of optimization research. However, in order for research in metaheuristics to avoid …

The application of artificial intelligence in everyday life is becoming all-pervasive and
unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired …