Because of successful implementations and high intensity, metaheuristic research has been
extensively reported in literature, which covers algorithms, applications, comparisons, and …

This paper presents an in‐depth survey and performance evaluation of cat swarm
optimization (CSO) algorithm. CSO is a robust and powerful metaheuristic swarm‐based …

This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …

This paper presents a novel artificial bee colony algorithm for binary optimization in general.
Our proposal, named NBABC, features a mechanism which limits the number of dimensions …

Given a delimited surveillance area, represented in either 2D or 3D, and a set of feasible
camera locations and orientations, the optimal camera placement problem (OCP) is that of …

The binarization of Swarm intelligence continuous metaheuristics is an area of great interest
in operations research. This interest is mainly due to the application of binarized …

Abstract The Set Covering Problem (SCP) is one of the classical Karp's 21 NP-complete
problems. Although this is a traditional optimization problem, we find many papers assuming …

The integration of machine learning techniques and metaheuristic algorithms is an area of
interest due to the great potential for applications. In particular, using these hybrid …

The progress of metaheuristic techniques, big data, and the Internet of things generates
opportunities to performance improvements in complex industrial systems. This article …

This chapter focuses the light on new research trends. It discusses classifications of the
nature-inspired algorithms and presents a brief list of algorithms followed by several different …