Accelerating parallel particle swarm optimization via GPU

DOI10.1080/10556788.2010.509435zbMath1242.90300OpenAlexW2048187548MaRDI QIDQ2885462

Yukai Hung, Wei-Chung Wang

Publication date: 23 May 2012

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: http://ntur.lib.ntu.edu.tw/bitstream/246246/242305/-1/index.html

zbMATH Keywords

parallel computingparticle swarm optimizationgraphic process unit

Mathematics Subject Classification ID

Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (9)

Discrete particle swarm optimization for constructing uniform design on irregular regions ⋮ A comprehensive survey on particle swarm optimization algorithm and its applications ⋮ Parallel computational optimization in operations research: a new integrative framework, literature review and research directions ⋮ ARES: Adaptive Receding-Horizon Synthesis of Optimal Plans ⋮ A robust parallel algorithm of the particle swarm optimization method for large dimensional engineering problems ⋮ ARMed SPHINCS ⋮ Optimizing Latin hypercube designs by particle swarm ⋮ Optimal Noncollapsing Space-Filling Designs for Irregular Experimental Regions ⋮ Particle swarm based algorithms for finding locally and Bayesian \(D\)-optimal designs

Uses Software

• CUDA

Cites Work

• Unnamed Item
• Optimization by Simulated Annealing
• A review of particle swarm optimization. II: Hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications
• GPU computing with Kaczmarz's and other iterative algorithms for linear systems
• A review of particle swarm optimization. I: Background and development
• Swarm intelligence. Introduction and applications
• Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization
• A Scalable High Performant Cholesky Factorization for Multicore with GPU Accelerators
• Particle Swarm Optimization
• Parallel asynchronous particle swarm optimization
• Parallel global optimization with the particle swarm algorithm

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