A number of modern metaheuristic optimization techniques are being exploited to work out a
single-objective economic dispatch (ED) problem. The dispatch problems even become …

Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm and it
has attracted a large number of widespread researchers. As a branch of PSO, a probabilistic …

Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm that
shares many similarities with evolutionary computation techniques. However, the PSO is …

Quantum-behaved particle swarm optimization (QPSO), motivated by concepts from
quantum mechanics and particle swarm optimization (PSO), is a probabilistic optimization …

This paper presents a hybrid differential evolution (DE) with quantum-behaved particle
swarm optimization (QPSO) for the unmanned aerial vehicle (UAV) route planning on the …

A new variant of particle swarm optimization (PSO), named phase angle-encoded and
quantum-behaved particle swarm optimization (θ-QPSO), is proposed. Six versions of θ …

Economic load dispatch (ELD) is an important topic in the operation of power plants which
can help to build up effective generating management plans. The practical ELD problem has …

The trade credit policy plays a significant role to minimize the risk or maximize the revenue
from a business. Thus, the consideration of trade credit policy with single or multiple credit …

This paper proposes a new binary particle swarm optimization (BPSO) approach inspired by
quantum computing, namely quantum-inspired BPSO (QBPSO). Although BPSO-based …

In this paper an improved coordinated aggregation-based particle swarm optimization (ICA-
PSO) algorithm is introduced for solving the optimal economic load dispatch (ELD) problem …