Cooperation between individuals plays a very important role when swarm robots search for
targets. In this article, we present a novel approach that is based on the distributed particle …

Multi-leader comprehensive learning particle swarm optimiser possesses strong exploitation
ability, by randomly selecting and assigning best-ranked particles as leaders during …

In order to improve the accuracy and performance of traditional image threshold
segmentation algorithm, this paper proposes a multithreshold segmentation method named …

This article presents the coordinated control of PI type PSS and MISO newly proposed
damping controller using SSSC-based PI type lead lag controller for transient stability …

Sažetak This work utilizes the transit network, which aims to combine the genetic algorithm
for analyzing the theory and traffic scheduling based on the traditional methodology. The …

Abstract Particle Swarm Optimization (PSO) algorithm is widely acknowledged for its robust
performance in solving optimization problems within engineering and scientific domains …

Traditional artificial spraying of pesticides leads not only to lower utilisation of pesticides but
also to environmental pollution. However, intelligent weeding devices can identify weeds …

For the attitude control of unmanned helicopters used in the intelligent patrolling of coal
mines, a spiking neural membrane system is introduced for attitude optimisation control …

A Markov approach for test case generation and code coverage estimation using particle
swarm optimisation technique is proposed. Initially, the DD-graph is taken from control flow …

Aiming at the problem that the original monarch butterfly optimization algorithm is easy to fall
into the local optimal solution and has poor convergence, an adaptive monarch butterfly …