Metaheuristic algorithms are computational intelligence paradigms especially used for
sophisticated solving optimization problems. This chapter aims to review of all …

Flower pollination algorithm (FPA) is a computational intelligence metaheuristic that takes its
metaphor from flowers proliferation role in plants. This paper provides a comprehensive …

Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

Research in metaheuristics for combinatorial optimization problems has lately experienced
a noteworthy shift towards the hybridization of metaheuristics with other techniques for …

An inherent problem in software engineering is that competing prediction systems have
been found to produce conflicting results. Yet accurate prediction is crucial because the …

Feature selection (FS) is the process of finding the least possible number of features that are
able to describe a dataset in the same way as the original features. Feature selection is a …

This article presents a review and a comparative analysis between frameworks for solving
optimization problems using metaheuristics. The aim is to identify both the desirable …

Nowadays, many manufacturing companies are trying to improve the performance of their
processes using available innovative technologies such as collaborative robots (cobots) …

The cloud computing is alarmingly getting into mainstream for the booming companies and
the research organizations as; they seek to gain benefits from its on-demand access, service …

University timetabling problems are a yearly challenging task and are faced repeatedly each
semester. The problems are considered nonpolynomial time (NP) and combinatorial …