What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Algorithm
- Algebra
His primary areas of study are Differential evolution, Evolutionary algorithm, Mathematical optimization, Memetic algorithm and Optimization problem.
His work investigates the relationship between Differential evolution and topics such as Continuous optimization that intersect with problems in Tree and Curse of dimensionality.
The Evolutionary algorithm study combines topics in areas such as Probabilistic logic and Crossover.
His study brings together the fields of Algorithm and Mathematical optimization.
Memetic algorithm is a subfield of Local search that Ferrante Neri tackles.
As a member of one scientific family, Ferrante Neri mostly works in the field of Optimization problem, focusing on Artificial intelligence and, on occasion, Structure, Machine learning and P system.
His most cited work include:
- Recent advances in differential evolution: a survey and experimental analysis (699 citations)
- Memetic algorithms and memetic computing optimization: A literature review (358 citations)
- Handbook of Memetic Algorithms (251 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Mathematical optimization, Differential evolution, Algorithm, Local search and Artificial intelligence.
His Mathematical optimization research focuses on Evolutionary computation, Metaheuristic, Optimization problem and Evolutionary algorithm.
His work carried out in the field of Differential evolution brings together such families of science as Curse of dimensionality, Particle swarm optimization, Crossover, Fitness landscape and Scale factor.
His research investigates the connection with Algorithm and areas like Control theory which intersect with concerns in Stationary Reference Frame.
Ferrante Neri works in the field of Local search, namely Memetic algorithm.
His Artificial intelligence research includes themes of Structure and Machine learning.
He most often published in these fields:
- Mathematical optimization (38.67%)
- Differential evolution (38.12%)
- Algorithm (27.07%)
What were the highlights of his more recent work (between 2017-2021)?
- Algorithm (27.07%)
- Differential evolution (38.12%)
- Local search (24.31%)
In recent papers he was focusing on the following fields of study:
Ferrante Neri focuses on Algorithm, Differential evolution, Local search, Artificial intelligence and Metaheuristic.
The Rotational invariance research Ferrante Neri does as part of his general Algorithm study is frequently linked to other disciplines of science, such as Invariant, therefore creating a link between diverse domains of science.
His research integrates issues of Correlation, Curse of dimensionality, Mutation and Rotation in his study of Differential evolution.
His research on Local search focuses in particular on Memetic algorithm.
His studies examine the connections between Artificial intelligence and genetics, as well as such issues in Machine learning, with regards to Structure and Heuristic.
As part of one scientific family, Ferrante Neri deals mainly with the area of Metaheuristic, narrowing it down to issues related to the Key, and often Genetic algorithm and Function.
Between 2017 and 2021, his most popular works were:
- Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy (80 citations)
- Simplified and yet Turing universal spiking neural P systems with communication on request (55 citations)
- Cloud-Assisted Secure eHealth Systems for Tamper-Proofing EHR via Blockchain (38 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Algorithm
- Algebra
Ferrante Neri mainly investigates Artificial intelligence, Algorithm, Differential evolution, Metaheuristic and Rapidly exploring random tree.
His Spiking neural network and Bio-inspired computing study in the realm of Artificial intelligence interacts with subjects such as Artificial Eyes and Image processing.
His Algorithm study combines topics in areas such as Exponential function, Correlation and Curse of dimensionality.
Ferrante Neri has included themes like Evolutionary algorithm, Genetic algorithm, Function and Crossover in his Differential evolution study.
His Metaheuristic research incorporates elements of Orthogonalization, CMA-ES and Search algorithm.
His Rapidly exploring random tree study is concerned with Motion planning in general.
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