A novel two-level particle swarm optimization approach to train the transformational grammar based hidden Markov models for performing structural alignment of pseudoknotted RNA

Lalwani, Soniya; Kumar, Rajesh; Gupta, Naveen Kumar

doi:10.1016/j.swevo.2014.11.001

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Original Particle Swarm Optimisation (Pso) Algorithm1

Voltage Stability Subproblem Formulation1

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Cited by 6 publications

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References 62 publications

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“…PSO is described in details in [25,26]. PSO is an optimisation algorithm inspired by flying of the birds in multidimensional search space, for finding roosting places, food sources or other things.…”

Section: Original Particle Swarm Optimisation (Pso) Algorithmmentioning

confidence: 99%

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Voltage stability margin improvement using hybrid non‐linear programming and modified binary particle swarm optimisation algorithm considering optimal transmission line switching

Nojàvàn

Seyedi

Mohammadi‐Ivatloo

2018

IET Generation, Transmission & Distribution

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Section: Original Particle Swarm Optimisation (Pso) Algorithmmentioning

confidence: 99%

“…Equations (28)-(31) indicate limitation of demand response and omittable load of each bus. Equations (25), (26) and (32) are constraints for voltage collapse point. In (27), desired voltage stability margin is assumed to be 20% of load in all the proposed cases.…”

Section: Voltage Stability Subproblem Formulationmentioning

confidence: 99%