In this study, a quantum-behaved particle swarm optimization (QPSO) based on hybrid evolution (HEQPSO) approach is proposed to estimate parameters of chaotic dynamic systems, in which the proposed HEQPSO algorithm combines the conceptions of genetic algorithm (GA) and adaptive annealing learning algorithm with the QPSO algorithm. That is, the mutation strategy in GA is used for conquering prema...

In cognitive radio network model consisting of secondary users and primary users, in order to solve the difficult multi-objective spectrum allocation issue about maximizing network efficiency and users’ fairness to access network, this paper proposes a new discrete multi-objective combinatorial optimization mechanism— HJ-DQPSO based on Hooke Jeeves (HJ) and Quantum Particle Swarm Optimization (...

Particle swarm optimization (PSO) algorithm is population-based heuristic global search algorithm inspired by social behavior patterns of organisms that live and interact within large groups. The PSO is based on researches on swarms such as fish schooling and bird flocking. Inspired by the classical PSO method and quantum mechanics theories, this work presents a quantum-inspired version of the ...

This research uses the improved Quantum Particle Swarm Optimization (QPSO) algorithm to build an Internet of Things (IoT) life comfort monitoring system based on wireless sensing networks. The purpose is improve quality intelligent life. functions include automatic basketball court lighting system, infants’ sleeping posture and accidental falls elderly, human thermal measurement other related s...

and Applied Analysis 3 min y f ( x, y ) s.t. g ( x, y ) ≥ 0, 2.1 where F x, y and f x, y are the upper level and the lower level objective functions, respectively. G x, y and g x, y denote the upper level and the lower level constraints, respectively. Let S { x, y | G x, y ≥ 0, g x, y ≥ 0}, X {x | ∃y, G x, y ≥ 0, g x, y ≥ 0}, S x {y | g x, y ≥ 0}, and for the fixed x ∈ X, let S X denote the wea...

Surface roughness is a significant factor in determining the product quality and highly impacts production price. The ability to predict surface before would save time resources of process. This research investigated performance state-of-the-art machine learning quantum behaved evolutionary computation methods predicting aluminum material face-milling machine. Quantum-behaved particle swarm opt...

<p><span id="docs-internal-guid-df1e3816-7fff-2396-860a-693df6c8ad2e"><span>An independent component analysis (ICA) is one of the solutions a blind source separation problem. ICA statistical approach that depends on properties mixed signals. The purpose method to demix signals (observation signals) and rcovering those abbreviation problem needs for optimizing by using optimiza...

Due to the limited coverage of base station (BS) and battery capacity mobile users, resource allocation strategy in multiple unmanned aerial vehicles (UAVs)-assisted edge computing system with nonlinear energy harvesting is investigated this paper. The cooperation between BS multi-UAV considered, which can provide extensive for users mobility. Mobile simultaneously offload computation bits UAV,...