In this paper, a novel hybrid Artificial Bee Colony (ABC) and Quantum Evolutionary
Algorithm (QEA) is proposed for solving continuous optimization problems. ABC is adopted …

Improvements in fuel consumption and emissions of hybrid electric vehicle (HEV) heavily
depend upon an efficient energy management strategy (EMS). This paper presents an …

In this paper, a novel hybrid Pigeon Inspired Optimization (PIO) and quantum theory is
proposed for solving continuous optimization problem. Which is called Bloch Quantum …

Trajectory optimization problem for hypersonic vehicles has long been recognized as a
difficult problem. This paper brings control constraints into the trajectory optimization to make …

Abstract Quantum Particle Swarm Optimization (QPSO) is a global convergence guaranteed
search method which introduces the Quantum theory into the basic Particle Swarm …

Purpose–The proposed algorithm successfully optimizes complex error functions, which are
difficult to differentiate, ill conditioned or discontinuous. It is a benchmark to identify initial …

An improved pigeon-inspired optimization (PIO) algorithm for global numerical optimization
is proposed to perceive deceptiveness and preserve diversity. In the proposed algorithm …

New implementations for parallel processing applications using reversible systolic networks
and the corresponding nano and field-emission controlled-switching components is …

A novel field emission Carbon Nanotube (CNT)-based controlled switch is introduced in the
second part of the article. For the architecture effectuation of the new CNT field emission …

New implementations within concurrent processing using three-dimensional lattice networks
via nano carbon-based field emission controlled-switching is introduced in this article. The …