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researcher

C. Grosan

9 papers hereh-index 395.8k citations190 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author4

Across the 7 of 9 papers where every author was matched, so the position is known.

fields
  • cs.NE4
  • cs.AI1
  • cs.CV1
  • cs.CY1
  • math.NA1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20152026
most citedEvolving Evolutionary Algorithms using Multi Expression Programming

65 citations · 108 across the 7 of their papers we have counts for

collaborators
Showing cs.NEShow all

4 papers · 1 filter

cs.NE2026

LLMDE: A Large Language Model-Driven Differential Evolution Algorithm for Portfolio Optimization

Rong Chai, Vaclav Snasel, Xiaopeng Wang +2

This study proposes a Large Language Model-Driven Differential Evolution (LLMDE) algorithm to reduce the reliance on handcrafted hyperparameter design. The proposed algorithm lever…

cs.NE2021★ 4 cited

Using Traceless Genetic Programming for Solving Multiobjective Optimization Problems

Mihai Oltean, Crina Grosan

Traceless Genetic Programming (TGP) is a Genetic Programming (GP) variant that is used in cases where the focus is rather the output of the program than the program itself. The mai…

cs.NE2021★ 65 cited

Evolving Evolutionary Algorithms using Multi Expression Programming

Mihai Oltean, Crina Groşan

Finding the optimal parameter setting (i.e. the optimal population size, the optimal mutation probability, the optimal evolutionary model etc) for an Evolutionary Algorithm (EA) is…

cs.NE2021★ 13 cited

Evolving Digital Circuits for the Knapsack Problem

Mihai Oltean, Crina Groşan, Mihaela Oltean

Multi Expression Programming (MEP) is a Genetic Programming variant that uses linear chromosomes for solution encoding. A unique feature of MEP is its ability of encoding multiple…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.