Optimization techniques are among the most promising methods to deal with real-world
problems, consisting of several objective functions and constraints. Over the decades, many …

The job scheduling paradigms include dispatching Internet of Things (IoT) critical services
onto processing nodes. Here most energy is consumed in finding suitable virtual machines …

Solving multi-objective optimization problems plays an important role in several
applications. Recently, the Marine Predator Algorithm (MPA) was introduced for solving …

The workflow scheduling problem considered difficult in the Cloud becomes even more
challenging when multiple scheduling criteria are used for optimization. It is much harder to …

Most studies on distributed assembly permutation flowshop scheduling do not consider
product priorities and factory heterogeneity. This causes delays in critical products and …

A cloud is made up of many data centers, with its own set of data and resources. The
reasons for employing several cloud sites to operate a workflow are that the data is already …

Adhesively bonded joints have been extensively employed in the aeronautical and
automotive industries to join thin-layer materials for developing lightweight components. To …

The shearer drum undertakes the main function of coal falling and loading, and picks
distributed on it have a great impact on the performance of the drum. However, few studies …

The multi-objective directed acyclic graph scheduling problem (MDAGSP) is prevalent in
cloud scheduling systems, involving the selection, assignment, and execution of multiple …

Scientific workflows are a common and critical part of scientific computing, involving complex
computations and oversized and distributed computing resources. Efficient workflow …