Search Results for author: Mihai Oltean

Found 18 papers, 11 papers with code

Liquid State Genetic Programming

no code implementations5 Dec 2023 Mihai Oltean

A new Genetic Programming variant called Liquid State Genetic Programming (LSGP) is proposed in this paper.

Benchmarking

Multi Expression Programming for solving classification problems

no code implementations16 Mar 2022 Mihai Oltean

Multi Expression Programming (MEP) is a Genetic Programming variant which encodes multiple solutions in a single chromosome.

Classification Multi-class Classification

Improving the Search by Encoding Multiple Solutions in a Chromosome

1 code implementation13 Oct 2021 Mihai Oltean

We investigate the possibility of encoding multiple solutions of a problem in a single chromosome.

Evolving Evolutionary Algorithms with Patterns

1 code implementation10 Oct 2021 Mihai Oltean

A new model for evolving Evolutionary Algorithms (EAs) is proposed in this paper.

Benchmarking Evolutionary Algorithms

Solving classification problems using Traceless Genetic Programming

1 code implementation7 Oct 2021 Mihai Oltean

Traceless Genetic Programming (TGP) is a new Genetic Programming (GP) that may be used for solving difficult real-world problems.

Classification

Using Traceless Genetic Programming for Solving Multiobjective Optimization Problems

1 code implementation7 Oct 2021 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.

Multiobjective Optimization

Solving even-parity problems using traceless genetic programming

1 code implementation4 Oct 2021 Mihai Oltean

A genetic programming (GP) variant called traceless genetic programming (TGP) is proposed in this paper.

New Evolutionary Computation Models and their Applications to Machine Learning

3 code implementations1 Oct 2021 Mihai Oltean

It is costly to pay humans, it is hard to keep them satisfied for a long time, it takes a lot of time to teach and train them and the quality of their output is in most cases low (in software, mostly due to bugs).

BIG-bench Machine Learning

Multi Expression Programming -- an in-depth description

1 code implementation29 Sep 2021 Mihai Oltean

Multi Expression Programming (MEP) is a Genetic Programming variant that uses a linear representation of chromosomes.

Symbolic Regression

Evolving Evolutionary Algorithms using Multi Expression Programming

1 code implementation22 Aug 2021 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 a difficult task.

Evolutionary Algorithms

Evolving Digital Circuits for the Knapsack Problem

no code implementations21 Aug 2021 Mihai Oltean, Crina Groşan, Mihaela Oltean

Multi Expression Programming (MEP) is a Genetic Programming variant that uses linear chromosomes for solution encoding.

Evolving winning strategies for Nim-like games

no code implementations21 Aug 2021 Mihai Oltean

An evolutionary approach for computing the winning strategy for Nim-like games is proposed in this paper.

Searching for a practical evidence of the No Free Lunch theorems

no code implementations21 Aug 2021 Mihai Oltean

Of high interest is finding a function for which Random Search is better than another standard evolutionary algorithm.

Evolutionary Algorithms

Evolving reversible circuits for the even-parity problem

no code implementations21 Aug 2021 Mihai Oltean

Reversible computing basically means computation with less or not at all electrical power.

Fruit recognition from images using deep learning

1 code implementation2 Dec 2017 Horea Mureşan, Mihai Oltean

In this paper we introduce a new, high-quality, dataset of images containing fruits.

Evolving TSP heuristics using Multi Expression Programming

1 code implementation8 Sep 2015 Mihai Oltean, D. Dumitrescu

The results emphasizes that evolved MEP heuristic is a powerful tool for solving difficult TSP instances.

Traveling Salesman Problem

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