Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics ---22 Years of Paradiseo---
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Abstract (arXiv)
The 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 optimization problems calls for a variety of algorithms to solve them efficiently. It is thus of prior importance to have access to mature and flexible software frameworks which allow for an efficient exploration of the algorithm design space. Such frameworks should be flexible enough to accommodate any kind of metaheuristics, and open enough to connect with higher-level optimization, monitoring and evaluation softwares. This article summarizes the features of the ParadisEO framework, a comprehensive C++ free software which targets the development of modular metaheuristics. ParadisEO provides a highly modular architecture, a large set of components, speed of execution and automated algorithm design features, which are key to modern approaches to metaheuristics development.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 May 2021.
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Citing papers per year: 2023: 2; 2024: 1; 2025: 1.
4 papers.
- 2023Automated Design of Metaheuristic Algorithms: A Surveycited by 12
- 2024Explainable Benchmarking for Iterative Optimization Heuristicscited by 10
- 2023AutoOptLib: Tailoring Metaheuristic Optimizers via Automated Algorithm Designcited by 1
- 2025SEvoBench : A C++ Framework For Evolutionary Single-Objective Optimization Benchmarkingcited by 0
- 2025SEvoBench : A C++ Framework For Evolutionary Single-Objective Optimization Benchmarking23 May 2025
- 2024Explainable Benchmarking for Iterative Optimization Heuristics31 Jan 2024
- 2023AutoOptLib: Tailoring Metaheuristic Optimizers via Automated Algorithm Design12 Mar 2023
- 2023Automated Design of Metaheuristic Algorithms: A Survey12 Mar 2023