Gene-Machine, a new search heuristic algorithm

TL;DR

Gene-Machine is a novel search heuristic inspired by natural evolution that outperforms traditional genetic algorithms in optimization tasks without using population or mutation concepts.

Contribution

It introduces a new evolutionary-inspired heuristic that simplifies genetic algorithm principles while maintaining high performance in search and optimization problems.

Findings

Outperforms traditional genetic algorithms in experiments

Does not rely on population, mutation, or generation concepts

Effective for various optimization and search problems

Abstract

This paper introduces Gene-Machine, an efficient and new search heuristic algorithm, based in the building-block hypothesis. It is inspired by natural evolution, but does not use some of the concepts present in genetic algorithms like population, mutation and generation. This heuristic exhibits good performance in comparison with genetic algorithms, and can be used to generate useful solutions to optimization and search problems.