H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 35 Citations 3,795 113 World Ranking 5776 National Ranking 18

Overview

What is she best known for?

The fields of study she is best known for:

  • Quantum mechanics
  • Artificial intelligence
  • Mathematical optimization

Viviana Cocco Mariani mainly investigates Mathematical optimization, Economic dispatch, Metaheuristic, Optimization problem and Evolutionary algorithm. Viviana Cocco Mariani is interested in Particle swarm optimization, which is a branch of Mathematical optimization. The study incorporates disciplines such as Cultural algorithm, Differential evolution and Search algorithm in addition to Economic dispatch.

Her study in Metaheuristic is interdisciplinary in nature, drawing from both Firefly algorithm and Ant colony. Her Optimization problem research incorporates themes from Energy and Chiller. Her studies deal with areas such as Evolutionary computation and Genetic algorithm as well as Evolutionary algorithm.

Her most cited work include:

  • Correction to "Combining of Chaotic Differential Evolution and Quadratic Programming for Economic Dispatch Optimization with Valve-Point Effect" (470 citations)
  • Use of chaotic sequences in a biologically inspired algorithm for engineering design optimization (156 citations)
  • An improved harmony search algorithm for power economic load dispatch (151 citations)

What are the main themes of her work throughout her whole career to date?

Viviana Cocco Mariani spends much of her time researching Mathematical optimization, Metaheuristic, Differential evolution, Optimization problem and Algorithm. Her work on Economic dispatch expands to the thematically related Mathematical optimization. Her research in Metaheuristic intersects with topics in Global optimization, Algorithm design, Multi-objective optimization, Benchmark and Swarm intelligence.

Her studies in Differential evolution integrate themes in fields like Internal combustion engine, Robustness, Control theory and Genetic algorithm, Meta-optimization. Her biological study spans a wide range of topics, including Pareto principle, Harmony search, Energy and Chiller. Her studies deal with areas such as Ensemble learning, Wind speed and Artificial neural network as well as Algorithm.

She most often published in these fields:

  • Mathematical optimization (58.60%)
  • Metaheuristic (32.56%)
  • Differential evolution (27.44%)

What were the highlights of her more recent work (between 2019-2021)?

  • Mathematical optimization (58.60%)
  • Ensemble learning (8.37%)
  • Support vector machine (8.84%)

In recent papers she was focusing on the following fields of study:

Her primary areas of study are Mathematical optimization, Ensemble learning, Support vector machine, Multi-objective optimization and Wind speed. Her study in Bayesian optimization and Differential evolution is carried out as part of her Mathematical optimization studies. Her Differential evolution study which covers Calibration that intersects with Benchmark.

Her research investigates the connection between Support vector machine and topics such as Ranking that intersect with problems in Regression, Random forest and Time series. Her Multi-objective optimization research integrates issues from Evolutionary algorithm, Volumetric efficiency, Wind direction and Search algorithm. The various areas that Viviana Cocco Mariani examines in her Optimization problem study include Swarm intelligence and Global optimization.

Between 2019 and 2021, her most popular works were:

  • Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil. (122 citations)
  • Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil. (122 citations)
  • Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables (26 citations)

In her most recent research, the most cited papers focused on:

  • Quantum mechanics
  • Artificial intelligence
  • Statistics

Viviana Cocco Mariani mainly focuses on Support vector machine, Ranking, Adaptive neuro fuzzy inference system, Artificial neural network and Regression. Her Support vector machine study deals with Ensemble learning intersecting with Algorithm, Echo state network, Gaussian and Wind speed. Her Ranking study integrates concerns from other disciplines, such as Extreme learning machine, Econometrics and Time series.

Her study in the fields of Autoregressive integrated moving average under the domain of Time series overlaps with other disciplines such as Context. Her Adaptive neuro fuzzy inference system research is multidisciplinary, incorporating elements of Electric power system, Group method of data handling, Reliability engineering, Energy and Electric power. Her research on Regression frequently connects to adjacent areas such as Random forest.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Correction to "Combining of Chaotic Differential Evolution and Quadratic Programming for Economic Dispatch Optimization with Valve-Point Effect"

L. Dos Santos Coelho;V.C. Mariani.
IEEE Transactions on Power Systems (2006)

651 Citations

An improved harmony search algorithm for power economic load dispatch

Leandro dos Santos Coelho;Viviana Cocco Mariani.
Energy Conversion and Management (2009)

220 Citations

Use of chaotic sequences in a biologically inspired algorithm for engineering design optimization

Leandro dos Santos Coelho;Viviana Cocco Mariani.
Expert Systems With Applications (2008)

197 Citations

Apparent thermal diffusivity estimation of the banana during drying using inverse method

Viviana Cocco Mariani;Antonio Gilson Barbosa de Lima;Leandro dos Santos Coelho.
Journal of Food Engineering (2008)

175 Citations

A novel chaotic particle swarm optimization approach using Hénon map and implicit filtering local search for economic load dispatch

Leandro dos Santos Coelho;Viviana Cocco Mariani.
Chaos Solitons & Fractals (2009)

166 Citations

Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects

Leandro dos Santos Coelho;Viviana Cocco Mariani.
Energy Conversion and Management (2008)

166 Citations

Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil.

Matheus Henrique Dal Molin Ribeiro;Matheus Henrique Dal Molin Ribeiro;Ramon Gomes da Silva;Viviana Cocco Mariani;Viviana Cocco Mariani;Leandro dos Santos Coelho;Leandro dos Santos Coelho.
Chaos Solitons & Fractals (2020)

155 Citations

Improved differential evolution algorithms for handling economic dispatch optimization with generator constraints

Leandro dos Santos Coelho;Viviana Cocco Mariani.
Energy Conversion and Management (2007)

143 Citations

Improved differential evolution approach based on cultural algorithm and diversity measure applied to solve economic load dispatch problems

Leandro dos Santos Coelho;Rodrigo Clemente Thom Souza;Viviana Cocco Mariani.
Mathematics and Computers in Simulation (2009)

138 Citations

Firefly algorithm approach based on chaotic Tinkerbell map applied to multivariable PID controller tuning

Leandro Dos Santos Coelho;Viviana Cocco Mariani.
Computers & Mathematics With Applications (2012)

138 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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