Central Force Optimization with variable initial probes and adaptive decision space

Formato, Richard A.

doi:10.1016/j.amc.2011.03.151

2011-07-01

PRE

Formato, Richard A. *

DOI：10.1016/j.amc.2011.03.151

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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.

Keyword:

Central Force Optimization (CFO)

Initial probe distribution

Adaptive decision space

Multidimensional search and optimization

Metaheuristic

期刊

Applied Mathematics and Computation

IF:

3.4

论文数:

2.3W

被引数:

3.3W

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