Results 21 to 30 of about 644,997 (352)

Application of Chaotic Cat Swarm Optimization in Cloud Computing Multi Objective Task Scheduling

IEEE Access, 2023
In cloud computing multi-task scheduling, a large number of tasks require the system to have excellent task scheduling capabilities to ensure stable and efficient operation of the system. However, the integration and scheduling of multi-task resources in
Haiyu Zhang, Runliang Jia
doaj   +1 more source

Economic load dispatch of renewable energy-based power systems with high penetration of large-scale hydropower station based on multi-agent glowworm swarm optimization

Energy Strategy Reviews, 2019
In this study, we propose a multi-agent glowworm swarm optimization (MAGSO) algorithm for the economic load dispatch (ELD) problem of a large-scale hydropower station.
Xiaoyu Wang, Kan Yang
doaj   +1 more source

New hybrid between NSGA-III with multi-objective particle swarm optimization to multi-objective robust optimization design for Powertrain mount system of electric vehicles

Advances in Mechanical Engineering, 2020
In this study, a new methodology, hybrid NSGA-III with multi-objective particle swarm optimization (HNSGA-III&MOPSO), has been developed to design and achieve cost optimization of Powertrain mount system stiffness parameters.
Nguyễn Huy Trưởng, Dinh-Nam Dao
doaj   +1 more source

Study on Multi-Objective Optimization of High-Efficiency and Low-NOx Emissions of Power Station Boilers Based on Least Squares Support Vector Machines

发电技术, 2023
Aiming at the multi-objective optimization of boiler combustion system, on the basis of the established prediction model of boiler combustion system, the weighted-particle swarm algorithm and the multi-objective particle swarm optimization (MOPSO ...
LIANG Zhongrong, LAN Maowei, ZHENG Guo, HE Rongqiang, QU Keyang, GAN Yunhua   +5 more
doaj   +1 more source

Multi-agent system for dynamic manufacturing system optimization [PDF]

, 2008
This paper deals with the application of multi-agent system concept for optimization of dynamic uncertain process. These problems are known to have a computationally demanding objective function, which could turn to be infeasible when large problems are ...
A.J. Gonzalez, D.E. Goldberg, J. Lis, N. Yoshitani, P. Merz, R. Dawkins, S. Bandyopadhyay   +6 more
core   +1 more source

Design of a Formation of Solar Pumped Lasers for Asteroid Deflection [PDF]

, 2012
This paper presents the design of a multi-spacecraft system for the deflection of asteroids. Each spacecraft is equipped with a fibre laser and a solar concentrator. The laser induces the sublimation of a portion of the surface of the asteroid.
Christie Alisa Maddock, Colombo, Colombo, Delbò, Gong, Hu, Jeong, Jeong, Kahle, Maddock, Massimiliano Vasile, Park, Phipps, Phipps, Rossi, Sanchez Cuartielles, Toon, Vasile, Vasile, Vasile, Vasile, Wang, Weksler, Yoo   +23 more
core   +2 more sources

An Improved Hybrid Method Combining Gravitational Search Algorithm With Dynamic Multi Swarm Particle Swarm Optimization

IEEE Access, 2019
GSA is badly suffering from a slow convergence rate and poor local search ability when solving complex optimization problems. To solve this problem, a new hybrid population-based algorithm is proposed with the combination of dynamic multi swarm particle ...
A. Nagra, Fei Han, Qinghua Ling, Sumet Mehta   +3 more
semanticscholar   +1 more source

Prior Recognition of Flash Floods: Concrete Optimal Neural Network Configuration Analysis for Multi-Resolution Sensing

IEEE Access, 2020
Flash floods can demolish infrastructure and property within seconds as they are very sudden. Flash floods are the main cause of the casualties and loss of properties. Existing natural disaster prediction algorithms contains false alarms.
Talha Ahmed Khan, Muhammad Mansoor Alam, Zeeshan Shahid, Mazliham Mohd Su'ud   +3 more
doaj   +1 more source

Entropy diversity in multi-objective particle swarm optimization [PDF]

, 2013
Multi-objective particle swarm optimization (MOPSO) is a search algorithm based on social behavior. Most of the existing multi-objective particle swarm optimization schemes are based on Pareto optimality and aim to obtain a representative non-dominated ...
Machado, J. A. Tenreiro, Oliveira, P. B. Moura, Pires, E. J. Solteiro   +2 more
core   +2 more sources

Multi-agent collaborative search : an agent-based memetic multi-objective optimization algorithm applied to space trajectory design [PDF]

, 2011
This article presents an algorithm for multi-objective optimization that blends together a number of heuristics. A population of agents combines heuristics that aim at exploring the search space both globally and in a neighbourhood of each agent.
Deb K. A., F Zuiani, M Vasile, Myatt D. R., Price K. V., Van Veldhuizen D. A.   +5 more
core   +2 more sources