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

Many evolutionary artificial intelligence (AI) technologies have been applied to assist with
job scheduling in manufacturing. One of the main approaches is genetic algorithms (GAs) …

Simulated annealing is a stochastic local search method, initially introduced for global
combinatorial mono‐objective optimisation problems, allowing gradual convergence to a …

The job-shop scheduling problem has attracted many researchers' attention in the past few
decades, and many algorithms based on heuristic algorithms, genetic algorithms, and …

Intelligent scheduling covers various tools and techniques for successfully and efficiently
solving the scheduling problems. In this paper, we provide a survey of intelligent scheduling …

This paper presents a novel discrete differential evolution (DDE) algorithm for solving the no-
wait flow shop scheduling problems with makespan and maximum tardiness criteria. First …

Most previous research into the job-shop scheduling problem has concentrated on finding a
single optimal solution (eg, makespan), even though the actual requirement of most …

The real life scheduling problems often have several conflicting objectives. The solutions of
these problems can provide deeper insights to the decision maker than those of single …

This paper presents a new mathematical model for a bi-objective job shop scheduling
problem with sequence-dependent setup times and ready times that minimizes the weighted …

This chapter begins by defining explainable artificial intelligence (XAI). A procedure for
implementing XAI was also established. Then, through literature analysis, the application of …