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A Level-Value Estimate Method for Solving Constrained Global Optimization

A Level-Value Estimate Method for Solving Constrained Global Optimization
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摘要 The penalty method is a popular method for solving constrained optimization problems, which can change the constrained optimization to the unconstrained optimization. With the integral-level set method, a new approach was proposed, which is briefer than the penalty method, to achieve the transform by constructing a simple function, then a level-value function was introduced to construct the equivalence between the unconstrained optimization and a nonlinear equality. By studying the properties of the function, a level-value estimate algorithm and an implementation algorithm were given by means of the uniform distribution of the good point set. Key words global optimization - constrained optimization - integral-level set - level-value estimate MSC 2000 90C05 The penalty method is a popular method for solving constrained optimization problems, which can change the constrained optimization to the unconstrained optimization. With the integral-level set method, a new approach was proposed, which is briefer than the penalty method, to achieve the transform by constructing a simple function, then a level-value function was introduced to construct the equivalence between the unconstrained optimization and a nonlinear equality. By studying the properties of the function, a level-value estimate algorithm and an implementation algorithm were given by means of the uniform distribution of the good point set. Key words global optimization - constrained optimization - integral-level set - level-value estimate MSC 2000 90C05
出处 《Journal of Shanghai University(English Edition)》 CAS 2004年第2期128-131,共4页 上海大学学报(英文版)
关键词 global optimization constrained optimization integral-level set level-value estimate global optimization constrained optimization integral-level set level-value estimate
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参考文献1

  • 1Ge Renpu.A filled function method for finding a global minimizer of a function of several variables[J].Mathematical Programming (-).1990(1-3)

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