Web Based Educational Tool for Metaheuristic Algorithms | Zendy

Güncel Sarıman | Zendy; Ecir Uğur Küçüksille | Zendy

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Web Based Educational Tool for Metaheuristic Algorithms

Author(s) -

Güncel Sarıman,

Ecir Uğur Küçüksille

Publication year - 2014

Publication title -

pamukkale university journal of engineering sciences

Language(s) - English

Resource type - Journals

eISSN - 2147-5881

pISSN - 1300-7009

DOI - 10.5505/pajes.2014.15870

Subject(s) - metaheuristic , computer science , benchmark (surveying) , parallel metaheuristic , test functions for optimization , algorithm , artificial immune system , variety (cybernetics) , optimization problem , machine learning , artificial intelligence , mathematical optimization , multi swarm optimization , meta optimization , mathematics , geodesy , geography

Metaheuristic optimization algorithms are nowadays being employed to solve a wide variety of optimization problems. These algorithms are not based on mathematical evidence and have mostly been developed by imitation of natural phenomenon. In this study, a web-based educational metaheuristics testing tool was developed. With this tool, the users are able to test Artificial Immune System and Artificial Bee Colony algorithms on Benchmark functions, observe the results of optimization by modifying the parameters for each algorithm, and at the same time perform optimization procedures by typing their own functions with their own constraints. In addition, information on the working steps of both algorithms are provided in the application

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