Multi-objective task allocation in distributed computing systems by hybrid particle swarm optimization

DOI10.1016/j.amc.2006.06.071zbMath1115.68033OpenAlexW1968318098MaRDI QIDQ879497

Pei-Pei Wang, Peng-Yeng Yin, Yi-Te Wang, Shiuh-Sheng Yu

Publication date: 14 May 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2006.06.071

zbMATH Keywords

genetic algorithmparticle swarm optimizationdistributed computing systemshybrid strategydistributed system reliabilitymulti-objective task allocation problem

Mathematics Subject Classification ID

Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Distributed systems (68M14) Reliability, testing and fault tolerance of networks and computer systems (68M15)

Related Items (3)

Introducing dynamic diversity into a discrete particle swarm optimization ⋮ Multiobjective optimization on hierarchical refugee evacuation and resource allocation for disaster management ⋮ Bi-objective task assignment in heterogeneous distributed systems using honeybee mating optimization

Cites Work

• The computational complexity of the reliability problem on distributed systems
• The particle swarm optimization algorithm: Convergence analysis and parameter selection
• A hybrid genetic/optimization algorithm for a task allocation problem
• Reliability and cost optimization in distributed computing systems.
• Assignment of program modules to processors: a simulated annealing approach.
• Optimal task allocation and hardware redundancy policies in distributed computing systems
• Tabu Search—Part I
• An efficient algorithm for a task allocation problem
• A GA BASED MULTIPLE TASK ALLOCATION CONSIDERING LOAD

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