H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 45 Citations 8,887 227 World Ranking 3498 National Ranking 9

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

Leandro dos Santos Coelho mostly deals with Mathematical optimization, Particle swarm optimization, Metaheuristic, Multi-swarm optimization and Evolutionary computation. His Mathematical optimization study combines topics from a wide range of disciplines, such as Simulation and Economic dispatch. His research in Particle swarm optimization intersects with topics in Probability distribution, Chaotic, Local search, Heuristic and Gaussian.

The various areas that Leandro dos Santos Coelho examines in his Metaheuristic study include Firefly algorithm and Ant colony. His Evolutionary computation research focuses on Swarm intelligence and how it relates to Swarm behaviour and Premature convergence. The Evolutionary algorithm study combines topics in areas such as Nonlinear programming, Genetic algorithm, Differential evolution, Multi-objective optimization and Benchmark.

His most cited work include:

  • Multi-objective grey wolf optimizer (413 citations)
  • Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems (253 citations)
  • Solving economic load dispatch problems in power systems using chaotic and Gaussian particle swarm optimization approaches (219 citations)

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

Leandro dos Santos Coelho spends much of his time researching Mathematical optimization, Metaheuristic, Particle swarm optimization, Differential evolution and Artificial intelligence. His study in Mathematical optimization concentrates on Optimization problem, Evolutionary algorithm, Multi-swarm optimization, Multi-objective optimization and Evolutionary computation. His study in Metaheuristic is interdisciplinary in nature, drawing from both Global optimization, Electric power system and Benchmark.

His Particle swarm optimization research is multidisciplinary, incorporating elements of Swarm behaviour, Gaussian and Chaotic. His Differential evolution study incorporates themes from Economic dispatch, Genetic algorithm, Meta-optimization and Robustness. His Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.

He most often published in these fields:

  • Mathematical optimization (54.17%)
  • Metaheuristic (30.15%)
  • Particle swarm optimization (26.23%)

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

  • Artificial intelligence (21.32%)
  • Mathematical optimization (54.17%)
  • Support vector machine (8.33%)

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

His primary areas of investigation include Artificial intelligence, Mathematical optimization, Support vector machine, Artificial neural network and Machine learning. In the subject of general Artificial intelligence, his work in Feature, Transfer of learning and Fuzzy inference system is often linked to Humpback whale, thereby combining diverse domains of study. His research investigates the connection with Mathematical optimization and areas like Hyperparameter which intersect with concerns in Gaussian process.

His work deals with themes such as Mean absolute percentage error, Data mining, Ensemble learning, Ranking and Random forest, which intersect with Support vector machine. His biological study deals with issues like Nonlinear system, which deal with fields such as Micromanipulator, Acoustics, Cantilever and Piezoelectricity. As a part of the same scientific family, Leandro dos Santos Coelho mostly works in the field of Multi-objective optimization, focusing on Evolutionary algorithm and, on occasion, Multilayer perceptron, Genetic algorithm and Maximum power principle.

Between 2019 and 2021, his 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)
  • Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series (55 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

His main research concerns Support vector machine, Random forest, Artificial neural network, Adaptive neuro fuzzy inference system and Ranking. His studies deal with areas such as Ensemble learning, Gradient boosting and Extreme learning machine as well as Support vector machine. His Artificial neural network research is multidisciplinary, incorporating elements of Algorithm, Nonlinear system and System identification.

His Adaptive neuro fuzzy inference system research includes themes of Wavelet and Data mining. His research in Ranking intersects with topics in Econometrics, Regression and Time series. Swarm intelligence is a primary field of his research addressed under Mathematical optimization.

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

Multi-objective grey wolf optimizer

Seyedali Mirjalili;Shahrzad Saremi;Seyed Mohammad Mirjalili;Leandro dos S. Coelho.
Expert Systems With Applications (2016)

622 Citations

Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems

Leandro dos Santos Coelho.
Expert Systems With Applications (2010)

328 Citations

Elephant Herding Optimization

Gai-Ge Wang;Suash Deb;Leandro dos S. Coelho.
2015 3rd International Symposium on Computational and Business Intelligence (ISCBI) (2015)

315 Citations

Solving economic load dispatch problems in power systems using chaotic and Gaussian particle swarm optimization approaches

Leandro dos Santos Coelho;Chu-Sheng Lee.
International Journal of Electrical Power & Energy Systems (2008)

311 Citations

A quantum particle swarm optimizer with chaotic mutation operator

Leandro dos Santos Coelho.
Chaos Solitons & Fractals (2008)

258 Citations

Earthworm optimisation algorithm: a bio-inspired metaheuristic algorithm for global optimisation problems

Gai Ge Wang;Suash Deb;Leandro Dos Santos Coelho.
International Journal of Bio-inspired Computation (2015)

244 Citations

An efficient particle swarm approach for mixed-integer programming in reliability–redundancy optimization applications

Leandro dos Santos Coelho.
Reliability Engineering & System Safety (2009)

230 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

A new metaheuristic optimisation algorithm motivated by elephant herding behaviour

Gai-Ge Wang;Suash Deb;Xiao-Zhi Gao;Leandro Dos Santos Coelho.
International Journal of Bio-inspired Computation (2017)

215 Citations

Tuning of PID controller for an automatic regulator voltage system using chaotic optimization approach

Leandro dos Santos Coelho.
Chaos Solitons & Fractals (2009)

214 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.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Leandro dos Santos Coelho

Gai-Ge Wang

Gai-Ge Wang

Ocean University of China

Publications: 33

Milan Tuba

Milan Tuba

Singidunum University

Publications: 28

Aboul Ella Hassanien

Aboul Ella Hassanien

Cairo University

Publications: 27

Behnam Mohammadi-Ivatloo

Behnam Mohammadi-Ivatloo

University of Tabriz

Publications: 25

Ali Asghar Heidari

Ali Asghar Heidari

National University of Singapore

Publications: 23

Xin-She Yang

Xin-She Yang

Middlesex University

Publications: 22

Nadeem Javaid

Nadeem Javaid

COMSATS University Islamabad

Publications: 20

Seyedali Mirjalili

Seyedali Mirjalili

Torrens University Australia

Publications: 20

Jianzhong Zhou

Jianzhong Zhou

Huazhong University of Science and Technology

Publications: 19

Xiao Dong Chen

Xiao Dong Chen

Queen Mary University of London

Publications: 18

Joao P. S. Catalao

Joao P. S. Catalao

University of Porto

Publications: 17

Zhongsheng Hou

Zhongsheng Hou

Qingdao University

Publications: 16

Mohamed Abd Elaziz

Mohamed Abd Elaziz

Zagazig University

Publications: 16

Harish Garg

Harish Garg

Thapar University

Publications: 15

Ali Kaveh

Ali Kaveh

Iran University of Science and Technology

Publications: 15

Something went wrong. Please try again later.