Swapan Kumar Goswami
Electrical and Electronic Engineering · 2008–2010
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 11 citations into it
Whom Swapan Kumar Goswami trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Swapan Kumar Goswami's perspective
Ordered by how strongly the researchers Swapan Kumar Goswami trusts endorse each paper. Same corpus, a different order for every researcher.
- Unit commitment by Lagrangian relaxation and genetic algorithms
- A novel approach for unit commitment problem via an effective hybrid particle swarm optimization (IEEE Transactions on Power Systems)
- A solution to the unit-commitment problem using integer-coded genetic algorithm (IEEE Transactions on Power Systems)
- A fast technique for unit commitment problem by extended priority list (IEEE Power Engineering Society General Meeting)
- Genetic Algorithms in Search Optimization and Machine Learning
- Genetic Algorithms in Search
- Genetic Algorithms + Data Structures = Evolution Programs
- Power System Economics: Designing Markets for Electricity
- Performance improvements of interleaving VRMs with coupling inductors
- ARIMA Models to Predict Next-Day Electricity Prices
Their papers
- Optimum allocation of distributed generations based on nodal pricing for profit, loss reduction, and voltage improvement including voltage rise issue (2010) — 342 citations
- Harmonics elimination in a multilevel inverter using the particle swarm optimisation technique (2009) — 103 citations
- Differential Evolution Algorithm for Solving Unit Commitment with Ramp Constraints (2008) — 47 citations