Metaheuristic algorithms are widely known as efficient solutions for solving problems of
optimization. These algorithms supply powerful instruments with significant engineering …

Moth-flame optimization (MFO) is a prominent problem solver with a simple structure that is
widely used to solve different optimization problems. However, MFO and its variants …

Abstract Quantum-inspired Evolutionary Algorithm (QEA) is a kind of intelligent algorithm
which widely and effectively used in many fields. In QEA, the basic and common operations …

Disassembly lines are the most efficient choice for recovering parts and components on a
large scale from old products. The efficient utilization of disassembly line resources requires …

Real-time task scheduling in multiprocessor (MP) systems has become more critical. As
quantum computing advances, scholars have proposed different Quantum-Inspired (QI) …

Inter-basin water transfers (IBWT) are implemented to re-allocate unevenly distributed water
resources. However, many conflicting objectives associated with society, economy, and …

Power flow calculation plays an important role in planning, operation, and control of the
power system. The quantum HHL algorithm can achieve theoretical exponential speedup …

Over the past few years, quantum-inspired genetic algorithm, as the forerunner of quantum
evolutionary algorithms has made significant achievements in solving optimization problems …

Intelligent mechanical systems are a focused area nowadays. One of the requirements of
intelligent mechanical systems is to achieve intelligent fault diagnosis through the real-time …

Quantum algorithms, based on the principles of quantum mechanics, offer significant
parallel processing capabilities with a wide range of applications. Nature-inspired stochastic …