Particle swarm optimization (PSO) is a heuristic global optimization method, proposed
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …

This paper presents a new algorithm named spherical vector-based particle swarm
optimization (SPSO) to deal with the problem of path planning for unmanned aerial vehicles …

This review aims to exploit a study on different benchmark test functions used to evaluate the
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …

Traditional quantum-based evolutionary algorithms are intended to solve single-objective
optimization problems or multiobjective small-scale optimization problems. However …

A novel bat algorithm (NBA) is proposed for optimization in this paper, which focuses on
further mimicking the bats' behaviors and improving bat algorithm (BA) in view of biology …

Quantum mechanism, which has received widespread attention, is in continuous evolution
rapidly. The powerful computing power and high parallel ability of quantum mechanism …

This paper presents a new quantum chaotic cuckoo search algorithm (QCCS) for data
clustering. Recent researches show the superiority of cuckoo search (CS) over traditional …

Over the last few years, manufacturing firms are required to take more action in order to
control the carbon emissions from their activities. Again, the warranty of a product is an …

This paper proposes the random drift particle swarm optimization (RDPSO) algorithm to
solve economic dispatch (ED) problems from power systems area. The RDPSO is inspired …

This paper presents a novel algorithm named the motion-encoded particle swarm
optimization (MPSO) for finding a moving target with unmanned aerial vehicles (UAVs) …