2023 - Research.com Computer Science in Brazil Leader Award
2022 - Research.com Computer Science in Brazil Leader Award
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.
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.
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.
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.
Multi-objective grey wolf optimizer
Seyedali Mirjalili;Shahrzad Saremi;Seyed Mohammad Mirjalili;Leandro dos S. Coelho.
Expert Systems With Applications (2016)
Elephant Herding Optimization
Gai-Ge Wang;Suash Deb;Leandro dos S. Coelho.
2015 3rd International Symposium on Computational and Business Intelligence (ISCBI) (2015)
Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems
Leandro dos Santos Coelho.
Expert Systems With Applications (2010)
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)
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)
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)
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)
A quantum particle swarm optimizer with chaotic mutation operator
Leandro dos Santos Coelho.
Chaos Solitons & Fractals (2008)
Coyote Optimization Algorithm: A New Metaheuristic for Global Optimization Problems
Juliano Pierezan;Leandro Dos Santos Coelho.
congress on evolutionary computation (2018)
An efficient particle swarm approach for mixed-integer programming in reliability–redundancy optimization applications
Leandro dos Santos Coelho.
Reliability Engineering & System Safety (2009)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: