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- research-articleJuly 2021
Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of Paradiseo
- Johann Dreo,
- Arnaud Liefooghe,
- Sébastien Verel,
- Marc Schoenauer,
- Juan J. Merelo,
- Alexandre Quemy,
- Benjamin Bouvier,
- Jan Gmys
GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference CompanionPages 1522–1530https://doi.org/10.1145/3449726.3463276The success of metaheuristic optimization methods has led to the development of a large variety of algorithm paradigms. However, no algorithm clearly dominates all its competitors on all problems. Instead, the underlying variety of landscapes of ...
- research-articleJuly 2021
Island model in ActoDatA: an actor-based implementation of a classical distributed evolutionary computation paradigm
- Giuseppe Petrosino,
- Federico Bergenti,
- Gianfranco Lombardo,
- Monica Mordonini,
- Agostino Poggi,
- Michele Tomaiuolo,
- Stefano Cagnoni
GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference CompanionPages 1801–1808https://doi.org/10.1145/3449726.3463210In this paper, we make a first assessment of the performance of ActoDatA, a novel actor-based software library for distributed data analysis and machine learning in Java that we have recently developed. To do so we have implemented an evolutionary ...
- research-articleJuly 2021
An abstract interface for large-scale continuous optimization decomposition methods
GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference CompanionPages 1267–1274https://doi.org/10.1145/3449726.3463188Decomposition methods are valuable approaches to support the development of divide-and-conquer metaheuristics. When the problem structure is unknown, such as in black-box problems, this structure can be inferred through several decomposition mechanisms. ...
- research-articleJuly 2021
AI programmer: autonomously creating software programs using genetic algorithms
GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference CompanionPages 1513–1521https://doi.org/10.1145/3449726.3463125In this paper, we present AI Programmer, a machine learning (ML) system that can automatically generate full software programs, while requiring only minimal human guidance. At its core, AI Programmer uses a genetic algorithm (GA), coupled with a tightly ...
