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Central Force Optimization with variable initial probes and adaptive decision space

delete2011-07-01
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Formato, Richard A. *
DOI：10.1016/j.amc.2011.03.151delete
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Abstract

Abstract

En 中文
An implementation of Central Force Optimization (CFO) utilizing variable initial probes and decision space adaptation is presented. The algorithm is tested against a suite of benchmark functions and CFO's results compared to those of other algorithms. CFO performs well against the benchmarks, and also in scalability tests in 300-dimensions. (C) 2011 Elsevier Inc. All rights reserved.
Keywords:
Central Force Optimization (CFO)
Initial probe distribution
Adaptive decision space
Multidimensional search and optimization
Metaheuristic
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Applied Mathematics and Computation cover
Applied Mathematics and Computation
IF:
3.4
Papers:
2.3W
Citations:
3.3W

Organization

No organization information available
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