Swarm robotics is an approach to collective robotics that takes inspiration from the self-
organized behaviors of social animals. Through simple rules and local interactions, swarm …

This work presents a review and discussion of the challenges that must be solved in order to
successfully develop swarms of Micro Air Vehicles (MAVs) for real world operations. From …

Real-world problems are complex as they are multidimensional and multimodal in nature
that encourages computer scientists to develop better and efficient problem-solving …

Tracking-by-detection is a common approach to multi-object tracking. With ever increasing
performances of object detectors, the basis for a tracker becomes much more reliable. In …

Swarm Intelligence (SI) is a popular multi-agent framework that has been originally inspired
by swarm behaviors observed in natural systems, such as ant and bee colonies. In a system …

This technical note addresses the distributed containment control problem for a linear multi-
leader multi-agent system with a directed communication topology. A new class of …

In this paper, we intend to formulate a new meta-heuristic algorithm, called Cuckoo Search
(CS), for solving optimization problems. This algorithm is based on the obligate brood …

Nature-inspired algorithms are among the most powerful algorithms for optimization. This
paper intends to provide a detailed description of a new Firefly Algorithm (FA) for multimodal …

Modern optimisation algorithms are often metaheuristic, and they are very promising in
solving NP-hard optimisation problems. In this paper, we show how to use the recently …

A new metaheuristic optimisation algorithm, called cuckoo search (CS), was developed
recently by Yang and Deb (2009). This paper presents a more extensive comparison study …