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 study examined how path planning of intelligent mobile robot could be enhanced by
utilizing simplified swarm optimization (SSO) in working environment with irregular …

The position and posture of the hydraulic support seriously affect the efficiency of coal
mining and the safety of coal production. However, most of the current detection …

In this paper, an improved remora optimization algorithm (IROA) is proposed to solve the
multi-objective optimal power flow problem (MOOPF). The algorithm introduced the …

This book will cover heuristic optimization techniques and applications in engineering
problems. The book will be divided into three sections that will provide coverage of the …

In developing software, software effort estimation plays an important role in the success of a
software project. Inaccurate, inconsistent, and unreliable estimation of a software leads to …

Quantum-behaved particle swarm optimization, which was motivated by analysis of particle
swarm optimization and quantum system, has shown compared performance in finding the …

In this study, an electric oil and gas actuator based on fractional-order PID position feedback
control is proposed, through which the damping coefficient of the suspension system is …

Particle swarm optimization (PSO) is a metaheuristic method and is widely used by several
applications. Improving the performance of this optimization method can greatly enhance its …

Quantum-behaved particle swarm optimization (QPSO), motivated by analysis from particle
swarm optimization (PSO) and quantum mechanics, has shown excellent performance in …