Nature Inspired Meta Heuristics for Network Management & Optimization - Sur, Chiranjib
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This work concentrates on application of nature inspired meta-heuristic algorithms for graph based problems for optimization. The applications are concentrated on multi-objective formulation and coordinated swarm intelligence focusing on road networks. Multi-objective formulation is based on real life constraints and other road network related limitations. These approaches improved previous works and introduced novel algorithms in this field.

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Produktbeschreibung
This work concentrates on application of nature inspired meta-heuristic algorithms for graph based problems for optimization. The applications are concentrated on multi-objective formulation and coordinated swarm intelligence focusing on road networks. Multi-objective formulation is based on real life constraints and other road network related limitations. These approaches improved previous works and introduced novel algorithms in this field.
Autorenporträt
Chiranjib Sur is a researcher in AI for applications in engineering and social science related to intelligent data processing, decision and optimization. Graduated from National Institute of Technology, Durgapur and Indian Institute of Information Technology, Gwalior, he is pursuing his PhD at CISE, University of Florida.