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文件名称:sBOA

介绍说明--下载内容来自于网络,使用问题请自行百度

贝叶斯优化算法是一种新的演化算法,通过贝叶斯概率统计的知识来学习后代,可是使演化朝有利的方向前进,程序用C实现了贝叶斯优化算法。-Bayesian Optimization Algorithm is a new evolutionary algorithm, through Bayesian probability and statistics to learn the knowledge of future generations, but to enable the evolution towards a favorable direction, procedures C achieved a Bayesian Optimization Algorithm.
(系统自动生成,下载前可以参看下载内容)

下载文件列表

sBOA/K2.cc
sBOA/args.cc
sBOA/bayesian.cc
sBOA/boa.cc
sBOA/checkCycles.cc
sBOA/computeCounts.cc
sBOA/fitness.cc
sBOA/getFileArgs.cc
sBOA/graph.cc
sBOA/header.cc
sBOA/help.cc
sBOA/main.cc
sBOA/mymath.cc
sBOA/population.cc
sBOA/random.cc
sBOA/recomputeGains.cc
sBOA/replace.cc
sBOA/select.cc
sBOA/stack.cc
sBOA/startUp.cc
sBOA/statistics.cc
sBOA/utils.cc
sBOA/K2.h
sBOA/args.h
sBOA/bayesian.h
sBOA/binary.h
sBOA/boa.h
sBOA/checkCycles.h
sBOA/computeCounts.h
sBOA/fitness.h
sBOA/getFileArgs.h
sBOA/graph.h
sBOA/header.h
sBOA/help.h
sBOA/memalloc.h
sBOA/mymath.h
sBOA/population.h
sBOA/random.h
sBOA/recomputeGains.h
sBOA/replace.h
sBOA/select.h
sBOA/stack.h
sBOA/startUp.h
sBOA/statistics.h
sBOA/utils.h
sBOA/Makefile
sBOA/README
sBOA/COPYRIGHT
sBOA/examples/input.3decOverlap.31
sBOA/examples/input.3decOverlap.61
sBOA/examples/input.3decOverlap.91
sBOA/examples/input.3deceptive.30
sBOA/examples/input.3deceptive.60
sBOA/examples/input.3deceptive.90
sBOA/examples/input.bipolar.30
sBOA/examples/input.bipolar.60
sBOA/examples/input.bipolar.90
sBOA/examples/input.onemax.30
sBOA/examples/input.onemax.60
sBOA/examples/input.onemax.90
sBOA/examples/input.quadratic.30
sBOA/examples/input.quadratic.60
sBOA/examples/input.quadratic.90
sBOA/examples/input.trap5.30
sBOA/examples/input.trap5.60
sBOA/examples/input.trap5.90
sBOA/examples/output.3decOverlap.31.fitness
sBOA/examples/output.3decOverlap.31.log
sBOA/examples/output.3decOverlap.31.model
sBOA/examples/output.3decOverlap.61.fitness
sBOA/examples/output.3decOverlap.61.log
sBOA/examples/output.3decOverlap.61.model
sBOA/examples/output.3decOverlap.91.fitness
sBOA/examples/output.3decOverlap.91.log
sBOA/examples/output.3decOverlap.91.model
sBOA/examples/output.3deceptive.30.fitness
sBOA/examples/output.3deceptive.30.log
sBOA/examples/output.3deceptive.30.model
sBOA/examples/output.3deceptive.60.fitness
sBOA/examples/output.3deceptive.60.log
sBOA/examples/output.3deceptive.60.model
sBOA/examples/output.3deceptive.90.fitness
sBOA/examples/output.3deceptive.90.log
sBOA/examples/output.3deceptive.90.model
sBOA/examples/output.bipolar.30.fitness
sBOA/examples/output.bipolar.30.log
sBOA/examples/output.bipolar.30.model
sBOA/examples/output.bipolar.60.fitness
sBOA/examples/output.bipolar.60.log
sBOA/examples/output.bipolar.60.model
sBOA/examples/output.bipolar.90.fitness
sBOA/examples/output.bipolar.90.log
sBOA/examples/output.bipolar.90.model
sBOA/examples/output.onemax.30.fitness
sBOA/examples/output.onemax.30.log
sBOA/examples/output.onemax.30.model
sBOA/examples/output.onemax.60.fitness
sBOA/examples/output.onemax.60.log
sBOA/examples/output.onemax.60.model
sBOA/examples/output.onemax.90.fitness
sBOA/examples/output.onemax.90.log
sBOA/examples/output.onemax.90.model
sBOA/examples/output.quadratic.30.fitness
sBOA/examples/output.quadratic.30.log
sBOA/examples/output.quadratic.30.model
sBOA/examples/output.quadratic.60.fitness
sBOA/examples/output.quadratic.60.log
sBOA/examples/output.quadratic.60.model
sBOA/examples/output.quadratic.90.fitness
sBOA/examples/output.quadratic.90.log
sBOA/examples/output.quadratic.90.model
sBOA/examples/output.trap5.30.fitness
sBOA/examples/output.trap5.30.log
sBOA/examples/output.trap5.30.model
sBOA/examples/output.trap5.60.fitness
sBOA/examples/output.trap5.60.log
sBOA/examples/output.trap5.60.model
sBOA/examples/output.trap5.90.fitness
sBOA/examples/output.trap5.90.log
sBOA/examples/output.trap5.90.model
sBOA/examples
sBOA
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