V
Viviana Cocco Mariani
Researcher at Pontifícia Universidade Católica do Paraná
Publications - 214
Citations - 5887
Viviana Cocco Mariani is an academic researcher from Pontifícia Universidade Católica do Paraná. The author has contributed to research in topics: Metaheuristic & Optimization problem. The author has an hindex of 34, co-authored 195 publications receiving 4301 citations. Previous affiliations of Viviana Cocco Mariani include The Catholic University of America & Federal University of Paraná.
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Journal ArticleDOI
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 +6 more
TL;DR: The use of evaluated models is recommended to forecasting and monitor the ongoing growth of COVID-19 cases, once these models can assist the managers in the decision-making support systems.
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Use of chaotic sequences in a biologically inspired algorithm for engineering design optimization
TL;DR: New combinations of an ant colony inspired algorithm (ACA) and chaotic sequences (ACH) are employed in well-studied continuous optimization problems of engineering design and their results indicate that ACA and ACH handle such problems efficiently in terms of precision and convergence.
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An improved harmony search algorithm for power economic load dispatch
TL;DR: An improved harmony search (IHS) algorithm based on exponential distribution for solving economic dispatch problems and the generation costs are lower than those of the classical HS and other optimization algorithms reported in recent literature.
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A novel chaotic particle swarm optimization approach using Hénon map and implicit filtering local search for economic load dispatch
TL;DR: A novel chaotic PSO combined with an implicit filtering (IF) local search method to solve economic dispatch problems using chaos mapping using Henon map sequences which increases its convergence rate and resulting precision.
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Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects
TL;DR: In this article, a quantum-inspired version of the PSO (QPSO) using the harmonic oscillator potential well (HQPSO), is presented to solve economic dispatch problems.