期刊信息

Optimization Methods and Software

请登录查看期刊网址
免费注册：查看官网链接、跟踪截稿日期，并接收邮件提醒。
登录 注册
用 API 获取这条数据
搜索与榜单列表完全无需凭证；本页的完整详情需要一把免费 API 密钥。详见开发者接入页。

影响因子:
1.4
出版商:
Taylor & Francis
ISSN:
1055-6788
浏览:
16162
关注:
0

征稿

Optimization Methods and Software is an academic journal published by Taylor & Francis. (ISSN 1055-6788, impact factor 1.4).

Aims and scope 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. Peer Review Policy: All submitted manuscripts are subject to initial appraisal by the Editor. If found suitable for further consideration, papers are subject to peer review by independent, anonymous expert referees. All peer review is single anonymized and submissions can be made online at http://mc.manuscriptcentral.com/goms. Publishing Ethics: The Journal adheres to the highest standards of publishing ethics, with rigorous processes in place to ensure this is achieved. Taylor & Francis is a member of Committee of Publications Ethics (COPE) and utilises CrossCheck for all Journals. More information on our ethical standards and policies can be found here: http://authorservices.taylorandfrancis.com/ethics-for-authors/ The Journal has an appeals and complaints policy which can be viewed here: https://authorservices.taylorandfrancis.com/peer-review-appeals-and-complaints-from-authors/.
由 Dou Sun 最后更新于

相关期刊

CCF全称影响因子出版商ISSN
Engineering Optimization2.2Taylor & Francis0305-215X
Smart ScienceTaylor & Francis2308-0477
Information Systems Management3.9Taylor & Francis1058-0530
International Journal of Control1.6Taylor & Francis0020-7179
Systems Science & Control EngineeringTaylor & Francis2164-2583
Numerical Functional Analysis and Optimization1.4Taylor & Francis0163-0563
Applied Artificial IntelligenceTaylor & Francis0883-9514
Journal of Simulation1.7Taylor & Francis1747-7778
CCybernetics and SystemsTaylor & Francis0196-9722
International Journal of Computer Mathematics1.3Taylor & Francis0020-7160

相关会议

评论 0

暂无评论。

请登录后发表评论