CENTRAL FORCE OPTIMIZATION: A NEW NATURE INSPIRED COMPUTATIONAL FRAMEWORK FOR MULTIDIMENSIONAL SEARCH AND OPTIMIZATION

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FORMATO R.A.

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Journal Paper

Paper Information

Journal: STUDIES IN COMPUTATIONAL INTELLIGENCE Year:2008 | Volume:129 | Issue:- Page(s): 221-238

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Information Journal Paper

Title

CENTRAL FORCE OPTIMIZATION: A NEW NATURE INSPIRED COMPUTATIONAL FRAMEWORK FOR MULTIDIMENSIONAL SEARCH AND OPTIMIZATION

Author(s)

FORMATO R.A. | Issue Writer Certificate

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Abstract

Cites

UNSUPERVISED IMAGE CLUSTERING USING CENTRAL FORCE OPTIMIZATION ALGORITHM
A NOVEL APPROACH FOR DISCRIMINATION MAGNETIZING INRUSH CURRENT AND INTERNAL FAULT IN POWER TRANSFORMERS BASED ON NEURAL NETWORK

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APA: Copy

FORMATO, R.A.. (2008). CENTRAL FORCE OPTIMIZATION: A NEW NATURE INSPIRED COMPUTATIONAL FRAMEWORK FOR MULTIDIMENSIONAL SEARCH AND OPTIMIZATION. STUDIES IN COMPUTATIONAL INTELLIGENCE, 129(-), 221-238. SID. https://sid.ir/paper/627190/en

Vancouver: Copy

FORMATO R.A.. CENTRAL FORCE OPTIMIZATION: A NEW NATURE INSPIRED COMPUTATIONAL FRAMEWORK FOR MULTIDIMENSIONAL SEARCH AND OPTIMIZATION. STUDIES IN COMPUTATIONAL INTELLIGENCE[Internet]. 2008;129(-):221-238. Available from: https://sid.ir/paper/627190/en

IEEE: Copy

R.A. FORMATO, “CENTRAL FORCE OPTIMIZATION: A NEW NATURE INSPIRED COMPUTATIONAL FRAMEWORK FOR MULTIDIMENSIONAL SEARCH AND OPTIMIZATION,” STUDIES IN COMPUTATIONAL INTELLIGENCE, vol. 129, no. -, pp. 221–238, 2008, [Online]. Available: https://sid.ir/paper/627190/en

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