Multiple jobs are processed simultaneously on a given batch processing machine in parallel
batching. The resulting batch is called a p-batch. Batching can lead to reduced production …

In order to ensure high‐quality and on‐time delivery in logistic distribution processes, it is
necessary to efficiently manage the delivery fleet. Nowadays, due to the new policies and …

Metaheuristics are popularly used in various fields, and they have attracted much attention
in the scientific and industrial communities. In recent years, the number of new metaheuristic …

The RIME optimization algorithm is a newly developed physics-based optimization algorithm
used for solving optimization problems. The RIME algorithm proved high-performing in …

This study introduces an effective population-based optimization algorithm, namely the
Golden Search Optimization Algorithm (GSO), for numerical function optimization. The new …

A novel bio‐inspired algorithm, namely, Dingo Optimization Algorithm (DOA), is proposed for
solving optimization problems. The DOA mimics the social behavior of the Australian dingo …

Energy-efficient routing protocols for Underwater Wireless Sensor Networks (UWSNs) have
become critical in recent years for the intelligent and reliable collection of data from the seas …

More enterprises are facing rapid and changing market demand and small but frequent
orders, and they extend the production capability of manufacturing systems to respond to …

Electric vehicle routing problems (E-VRPs) extend classical routing problems to consider the
limited driving range of electric vehicles. In general, this limitation is overcome by …

Metaheuristics are widely recognized as efficient approaches for many hard optimization
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …