搜索结果: 1-8 共查到“理学 Global Optimization”相关记录8条 . 查询时间(0.113 秒)
Univariate global optimization with multiextremal non-differentiable constraints without penalty functions
Global optimization multiextremal constraints Lipschitz functions continuous index functions
2011/8/18
Abstract: This paper proposes a new algorithm for solving constrained global optimization problems where both the objective function and constraints are one-dimensional non-differentiable multiextrema...
Univariate global optimization with multiextremal non-differentiable constraints without penalty functions
Global optimization multiextremal constraints Lipschitz functions continuous index functions
2011/9/21
Abstract: This paper proposes a new algorithm for solving constrained global optimization problems where both the objective function and constraints are one-dimensional non-differentiable multiextrema...
An estimation of distribution algorithm with adaptive Gibbs sampling for unconstrained global optimization
Estimation of distribution algorithms Evolutionary algorithms Metropolis-within-Gibbs Global optimization
2011/9/30
Abstract: In this paper is proposed a new heuristic approach belonging to the field of evolutionary Estimation of Distribution Algorithms (EDAs). EDAs builds a probability model and a set of solutions...
Effective hybrid evolutionary computational algorithms for global optimization and applied to construct prion AGAAAAGA fibril models
Effective hybrid evolutionary computational algorithms global optimization construct prion AGAAAAGA fibril models
2011/3/4
Evolutionary algorithms are parallel computing algorithms and simulated annealing algorithm is a sequential computing algorithm.
Effective hybrid evolutionary computational algorithms for global optimization and applied to construct prion AGAAAAGA fibril models
Effective hybrid evolutionary computational algorithms global optimization
2011/1/6
Evolutionary algorithms are parallel computing algorithms and simulated annealing algorithm is a sequential computing algorithm. This paper inserts simulated annealing into evolutionary computations a...
A global optimization method for minimizing a product of two positive convex functions
Global optimization multiplicative programming convex multiplicative programming
2010/9/13
This paper presents a new algorithm for minimizing a product of two positive convex functions. The given problem is firstly converted to an equivalent quasi-concave minimization problem in the outcom...
A New Chaotic Parameters Disturbance Annealing Neural Network
for Solving Global Optimization Problems
Hopfield neural network global optimization chaotic
parameters disturbance simulated annealing
2007/8/15
2003Vol.39No.4pp.385-392DOI:
A New Chaotic Parameters Disturbance Annealing Neural Network
for Solving Global Optimization Problems
MA Wei and WANG Zheng-Ou
Institute of...
Application of interval newton method to solve nonlinear equations and global optimization
2007/7/28
期刊信息
篇名
Application of interval newton method to solve nonlinear equations and global optimization
语种
英文
撰写或编译
撰写
作者
Li Shuang,Xu Caijun,Wang Xinzhou
第一作者单位
刊物名称
GEO-SPATIAL INFORMATION SCIENCE
页面
6(1...