There is currently no standard or widely accepted subset of features to effectively classify
different emotions based on electroencephalogram (EEG) signals. While combining all …

Scheduling involving no-wait in process plays an important role in industries such as plastic,
chemical, and pharmaceutical. Moreover, many scheduling problems in other industries …

A permutation flow-shop scheduling problem (PFSP) has been studied for a long time due to
its significance in real-life applications. This work proposes an improved artificial bee colony …

Currently, manufacturing enterprises face increasingly fierce market competition due to the
various demands of customers and the rapid development of economic globalization …

Batch-processing machines (BPMs) can process a number of jobs at a time, which can be
found in many industrial systems. This article considers a single BPM scheduling problem …

This paper proposes an energy-aware multi-objective optimization algorithm (EA-MOA) for
solving the hybrid flow shop (HFS) scheduling problem with consideration of the setup …

This paper considers an energy-efficient bi-objective unrelated parallel machine scheduling
problem to minimize both makespan and total energy consumption. The parallel machines …

This article investigates a distributed assembly no-wait flow-shop scheduling problem
(DANWFSP), which has important applications in manufacturing systems. The objective is to …

This paper presents a novel discrete artificial bee colony (DABC) algorithm for solving the
multi-objective flexible job shop scheduling problem with maintenance activities …

When solving constrained optimization problems (COPs) by evolutionary algorithms, the
search algorithm plays a crucial role. In general, we expect that the search algorithm has the …