Swarm intelligence (SI), an integral part in the field of artificial intelligence, is gradually
gaining prominence, as more and more high complexity problems require solutions which …

Target search and tracking is a classical but difficult problem in many research domains,
including computer vision, wireless sensor networks and robotics. We review the seminal …

This paper proposed a new methodology to determine the optimal trajectory of the path for
multi-robot in a clutter environment using hybridization of improved particle swarm …

Robot path planning is essential to identify the most feasible path between a start point and
goal point by avoiding any collision in the given environment. This task is an NP-hard …

This paper presents an exposition of a new method of swarm intelligence based algorithm
for optimising multi-modal functions. The main objective of using this method is to ensure …

In this paper, we study the problem of multi-robot target searching in unknown environments.
For target searching, robots need an efficient method with respect to their limitations and …

Abstract The Glowworm Swarm Optimization (GSO) algorithm is a relatively new swarm
intelligence algorithm that simulates the movement of the glowworms in a swarm based on …

This paper proposed a novel approach to determine the optimal trajectory of the path for
multi-robots in a clutter environment using hybridization of improved particle swarm …

Motivation Computational prediction of protein–protein complex structure by docking can
provide structural and mechanistic insights for protein interactions of biomedical interest …

This paper presents a survey on multi-robot search inspired by swarm intelligence by further
classifying and discussing the theoretical advantages and disadvantages of the existing …