Nature Inspired Meta-heuristics for Grid Scheduling: Single and Multi-objective Optimization Approaches
DOI10.1007/978-3-540-69277-5_9zbMath1153.68333OpenAlexW172801870WikidataQ61736656 ScholiaQ61736656MaRDI QIDQ3603117
Ajith Abraham, Crina Grosan, Fatos Xhafa, Hong Bo Liu
Publication date: 13 February 2009
Published in: Studies in Computational Intelligence (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/2117/128951
multi-objective optimizationsimulated annealinggenetic algorithmsjob schedulinggrid computingparticle swarm optimizationant colonynature inspired meta-heuristics
Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)
Related Items (3)
Cites Work
- Optimization by Simulated Annealing
- Recent approaches to global optimization problems through particle Swarm optimization
- Evolutionary multiobjective optimization. Theoretical advances and applications.
- Particle Swarm Optimization
- A new simulated annealing algorithm
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