In order to solve the problem of environmental economic dispatch (EED), this paper proposes a DE-CQPSO (Differential Evolution-Crossover Quantum Particle Swarm Optimization) algorithm based on the fast convergence of differential evolution algorithms and the particle diversity of crossover operators of...
Many feasible and promising swarm intelligence algorithms have been proposed to solve the optimization problems, especially the global numerical optimization problems. It is easier to be in not a global state but a local optimal state, as the particle swarm optimization algorithm cannot update the pop...
A quantum particle swarm optimizer with chaotic mutation operator 2008, Chaos, Solitons and Fractals Show abstract A Systematic Review of the Whale Optimization Algorithm: Theoretical Foundation, Improvements, and Hybridizations 2023, Archives of Computational Methods in Engineering Quantum reinforcement learni...
Quantum-behaved particle swarm optimization (QPSO) algorithm is a global-convergence-guaranteed algorithm, which outperforms original PSO in search ability but has fewer parameters to control. But QPSO algorithm is to be easily trapped into local optima as a result of the rapid decline in diversity...
The initial solution is focused solely on optimizing the economic schedule, where minimizing fuel costs is the primary goal. The suggested method utilizes a quantum-inspired particle swarm optimization (QPSO) algorithm to optimize a sample test system consisting of 3 plants and a total of 6 thermal...
In this section, a hybrid quantum algorithm is designed for the Multi-Capability Resources-constrained multimodal project scheduling problem. Principle of Standard Quantum Particle Swarm Optimization QPSO algorithm is a swarm intelligent optimization algorithm with global search capability. It is based on ...
1.This paper introduces a bounded mutation operator into Quantum-behaved Particle Swarm Optimization(QPSO) algorithm and proposes QPSOB.将边界变异操作引入到量子粒子群优化算法中,提出基于边界变异的量子粒子群优化算法(QPSO)B。 英文短句/例句 1.Double quantum delta particle swarm optimization based on chaos...
Quantum behaved particle swarm algorithm is a new intelligent optimization algorithm; the algorithm has less parameters and is easily implemented. In view of the existing quantum behaved particle swarm optimization algorithm for the premature convergence problem, put forward a quantum particle swarm optimiz...
an improved artificial fish swarm algorithm based on hybrid:一种改进的基于混合的人工鱼群算法 A COPMARISON OF PARTICLE SWARM OPTIMIZATION AND THE GENEITC ALGORITHM 一种新的混合粒子群优化算法 一种高速收敛粒子群优化算法 A dynamic inertia weight particle swarm optimization algorithm chaotic species based ...
矩形包络量子行为粒子群算法粒子群算法遗传算法An improved QPSO(Quantum-behaved Particle Swarm Optimization) to solve rectangle-packing problems was proposed.The rectangle-packing is to replace two-dimensional irregular objects with their best rectangle,which is the first step of the clothing layout.The ...