优化方法和软件 SCIE

期刊简介预计审稿时间： 约9.0个月

Optimization Methods and Software

publishes refereed papers on the latest developments in the theory and realization of optimization methods, with particular emphasis on the interface between software development and algorithm design.

Topics include:

Theory, implementation and performance evaluation of algorithms and computer codes for linear, nonlinear, discrete, stochastic optimization and optimal control. This includes in particular conic, semi-definite, mixed integer, network, non-smooth, multi-objective and global optimization by deterministic or nondeterministic algorithms.

Algorithms and software for complementarity, variational inequalities and equilibrium problems, and also for solving inverse problems, systems of nonlinear equations and the numerical study of parameter dependent operators.

Various aspects of efficient and user-friendly implementations: e.g. automatic differentiation, massively parallel optimization, distributed computing, on-line algorithms, error sensitivity and validity analysis, problem scaling, stopping criteria and symbolic numeric interfaces.

Theoretical studies with clear potential for applications and successful applications of specially adapted optimization methods and software to fields like engineering, machine learning, data mining, economics, finance, biology, or medicine. These submissions should not consist solely of the straightforward use of standard optimization techniques.

优化方法与软件

发表关于优化方法理论和实现最新发展的同行评审论文，特别强调软件开发与算法设计之间的接口。

主题包括：

线性、非线性、离散、随机优化和最优控制的算法和计算机代码的理论、实现和性能评估。这尤其包括通过确定性或非确定性算法进行的圆锥、半正定、混合整数、网络、非光滑、多目标和全局优化。

用于互补、变分不等式和平衡问题的算法和软件，以及用于解决逆问题、非线性方程组和参数相关算子的数值研究的算法和软件。

高效和用户友好实现的各个方面：例如自动微分、大规模并行优化、分布式计算、在线算法、误差敏感性和有效性分析、问题扩展、停止标准和符号数字接口。

具有明显应用潜力的理论研究，以及将特别调整的优化方法和软件成功应用于工程、机器学习、数据挖掘、经济学、金融、生物学或医学等领域。这些提交不应仅包括标准优化技术的直接使用。

《Optimization Methods & Software》(优化方法和软件)编辑部通讯方式为TAYLOR & FRANCIS LTD, 4 PARK SQUARE, MILTON PARK, ABINGDON, ENGLAND, OXON, OX14 4RN。如果您需要协助投稿或润稿服务，您可以咨询我们的客服老师。我们专注于期刊投稿服务十年，熟悉发表政策，可为您提供一对一投稿指导，避免您在投稿时频繁碰壁，节省您的宝贵时间，有效提升发表机率，确保SCI检索（检索不了全额退款）。我们视信誉为生命，多方面确保文章安全保密，在任何情况下都不会泄露您的个人信息或稿件内容。