CONTOPT-JS: Metaheuristic Algorithms based JavaScript Software Library for Continuous Optimization Problems | Zendy

Osman Gökalp | Zendy; Aybars Uğur | Zendy; Sema Bodur | Zendy

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CONTOPT-JS: Metaheuristic Algorithms based JavaScript Software Library for Continuous Optimization Problems

Author(s) -

Osman Gökalp,

Aybars Uğur,

Sema Bodur

Publication year - 2019

Publication title -

journal of intelligent systems with applications

Language(s) - English

Resource type - Journals

ISSN - 2667-6893

DOI - 10.54856/jiswa.201905050

Subject(s) - metaheuristic , computer science , differential evolution , javascript , particle swarm optimization , search based software engineering , benchmark (surveying) , modular design , software , multi swarm optimization , algorithm , software deployment , programming language , software engineering , software development , software design , geodesy , geography

In this study, a software library called CONTOPT-JS has been developed for solving continuous optimization problems. By using this JavaScript language based library, fully client-side web applications can be developed. In the library, Artificial Bee Colony, Differential Evolution, Particle Swarm Optimization and Evolution Strategies metaheuristics exist and new algorithms and new problems can be added because of its modular design. Using the CONTOPT-JS library, experimental works have been conducted on some standard optimization benchmark functions and Sensor Deployment application area and the obtained results have been presented.

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