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Abstract: In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel meta-heuristic optimization algorithm ant lion optimizer (ALO). ALO is inspired by the hunting process of ant-lions in the natural environment. ALO has a fast convergence rate due to the use of roulette wheel selection… (More)

- Indrajit N. Trivedi, Pradeep Jangir, Siddharth A. Parmar, Narottam Jangir
- Neural Computing and Applications
- 2016

In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel metaheuristic optimization algorithm Moth-Flame Optimizer (MFO). The MFO is inspired by the navigation strategy of moths in universe. MFO has a fast convergence rate due to the use of roulette wheel selection method. For the OPF… (More)

- Indrajit N. Trivedi, Siddharth A. Parmar, Pradeep Jangir, Motilal Bhoye, Narottam Jangir, A Vijay Kumar
- 2016 International Conference on Circuit, Power…
- 2016

In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel meta-heuristic optimization technique Multi-Verse Optimizer (MVO). The main inspirations of this algorithm are based on three concepts in cosmology: white hole, black hole, and wormhole. MVO has a fast convergence rate. In order to… (More)

- Chandan Kumar Barik, Rukmini Baksi, +11 authors Nisha Shaji
- 2016 International Conference on Circuit, Power…
- 2016

4 ICCPCT 120 V Kannan, P Balakrishnan and T B Isha A Comparative Study On Different Control Techniques On Bridgeless Interleaved Ac-Dc Converter For Power Factor Correction 5 ICCPCT 121 S. Jeeva, N. Rathina Prabha and R. Bhavani PEMFC supported dynamic voltage restorer for power quality enhancement 6 ICCPCT 134 Arya Vishnuram and Haneesh K M Voltage… (More)

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