Ranking Programming Languages for Evolutionary Algorithm Operations

Merelo-Guervós, Juan-Julián; Blancas-Álvarez, Israel; Castillo, Pedro; Romero, Gustavo; García‐Sánchez, Pablo; Rivas, Víctor M.; García-Valdéz, Mario; Hernandez-Aguila, Amaury; Román, Mario

doi:10.1007/978-3-319-55849-3_44

Cited by 2 publications

(2 citation statements)

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“…Paradiseo does not provide such a GUI, but relies on dedicated third-party tools for this kind of functionality (see [10] and Section 4.3). The other frameworks do not provide the same level of features and use languages that are generally slower than C++ [28].…”

Section: Related Frameworkmentioning

confidence: 99%

“…The Paradiseo framework is a 22 years old effort which aims at developing a flexible architecture for the generic design of metaheuristics for hard optimization problems. It is implemented in C++, a very mature object-oriented programming language,which is probably one of the fastest, if not the fastest, object-oriented programming platforms on the market [19,30,28]. It is also highly portable and benefits from very extensive tooling as well as an active community.…”

Section: Introductionmentioning

confidence: 99%

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Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics ---22 Years of Paradiseo---

Dreo,

Liefooghe,

Verel

et al. 2021

Preprint

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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 higherlevel 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.

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Section: Related Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics ---22 Years of Paradiseo---

Dreo,

Liefooghe,

Verel

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

Genetic Algorithms in a Visual Declarative Programming

Golemanova

Golemanov

2022

Wseas Transactions on Information Science and Applications

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mperative languages like Java, C++, and Python are mostly used for the implementation of Genetic algorithms (GA). Other programming paradigms are far from being an object of study. The paper explores the advantages of a new non-mainstream programming paradigm, with declarative and nondeterministic features, in the implementation of GA. Control Network Programming (CNP) is a visual declarative style of programming in which the program is a set of recursive graphs, that are graphically visualized and developed. The paper demonstrates how the GA can be implemented in an automatic, i.e. non-procedural (declarative) way, using the built-in CNP inference mechanism and tools for its control. The CNP programs are easy to develop and comprehend, thus, CNP can be considered a convenient programming paradigm for efficient teaching and learning of nondeterministic, heuristic, and stochastic algorithms, and in particular GA. The outcomes of using CNP in delivering a course on Advanced Algorithm Design are shown and analyzed, and they strongly support the positive results in teaching when CNP is applied.

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Ranking Programming Languages for Evolutionary Algorithm Operations

Cited by 2 publications

References 20 publications

Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics ---22 Years of Paradiseo---

Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics ---22 Years of Paradiseo---

Genetic Algorithms in a Visual Declarative Programming

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