- author = "Pedro Evangelista and Paulo Maia and Miguel Rocha",
- title = "Implementing Metaheuristic Optimization Algorithms with {JECoLi}",
- booktitle = "2009 Ninth International Conference on Intelligent Systems Design and Applications",
- year = "2009",
- pages = "505--510",
- address = "Pisa, Italy",
- month = "30 " # nov # "-2 " # dec,
- keywords = "genetic algorithms, genetic programming",
- ISSN = "2164-7143",
-
DOI = "
doi:10.1109/ISDA.2009.161",
- size = "6 pages",
- abstract = "This work proposes JECoLi, a novel Java-based library for the implementation of metaheuristic optimization algorithms with a focus on Genetic and Evolutionary Computation based methods. The library was developed based on the principles of flexibility, usability, adaptability, modularity, extensibility, transparency, scalability, robustness and computational efficiency. The project is open-source, so JECoLi is made available under the GPL license, together with extensive documentation and examples, all included in a community Wiki-based web site (http://darwin.di.uminho.pt/jecoli). JECoLi has been/is being used in several research projects that helped to shape its evolution, ranging application fields from Bioinformatics, to Data Mining and Computer Network optimization.",
-
notes = "May 2019 http://darwin.di.uminho.pt/jecoli
broken
JECoLi implements a large set of metaheuristic algorithms, namely:
* General purpose Evolutionary Algorithms, including Genetic Algorithms and Evolutionary Programming;
* Differential Evolution (variants DE/rand and DE/best variants);
* Genetic Programming and Linear GP;
* Simulated Annealing (SA);
* Cellular Automata GAs;
* Multi-objective optimization Evolutionary Algorithms (NSGA II and SPEA2);
Universidade do Minho Campus de Gualtar, Braga, Portugal
also known as \cite{5364947}",
