Parameter-Free Deterministic Global Search with Simplified Central Force Optimization
نویسنده
چکیده
This note describes a simplified parameter-free implementation of Central Force Optimization for use in deterministic multidimensional search and optimization. The user supplies only the objective function to be maximized, nothing more. The algorithm’s performance is tested against a widely used suite of twenty three benchmark functions and compared to other state-ofthe-art algorithms. CFO performs very well.
منابع مشابه
Parameter-Free Deterministic Global Search with Central Force Optimization
This note describes a parameter-free implementation of Central Force Optimization for deterministic multidimensional search and optimization. The user supplies only one input: the objective function to be maximized, nothing more. The CFO equations of motion are simplified by assigning specific values to CFO’s basic parameters, and this particular algorithmic implementation also includes hardwir...
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