Gene-Machine, a new search heuristic algorithm
This provides an incremental improvement for researchers and practitioners in optimization, offering an alternative to genetic algorithms.
The paper tackles the problem of optimization and search by introducing Gene-Machine, a new heuristic algorithm based on the building-block hypothesis, which shows good performance compared to genetic algorithms.
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.