ISSN: 0925-5001

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Journal of Global Optimization Q1 Unclaimed

Springer Netherlands Netherlands

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Journal of Global Optimization is a journal indexed in SJR in Applied Mathematics and Computer Science Applications with an H index of 93. It has a price of 2190 €. It has an SJR impact factor of 0,847 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 0,847.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy: Open Choice

Type of publications:

Publication frecuency: -

Categories: Applied Mathematics (Q1) Business, Management and Accounting (miscellaneous) (Q1) Control and Optimization (Q1) Computer Science Applications (Q2) Management Science and Operations Research (Q2)

Price

2190 €

Inmediate OA

NPD

Embargoed OA

0 €

Non OA

Metrics

0,847

SJR Impact factor

93

H Index

180

Total Docs (Last Year)

365

Total Docs (3 years)

6855

Total Refs

835

Total Cites (3 years)

358

Citable Docs (3 years)

2.09

Cites/Doc (2 years)

38.08

Ref/Doc

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Aims and Scope

Best articles by citations

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Portfolio Selection Theory with Different Interest Rates for Borrowing and Leading

Coloring of Double Disk Graphs

Decomposition strategy for the stochastic pooling problem

A topological convergence on power sets well-suited for set optimization

Stabilizer-based symmetry breaking constraints for mathematical programs

An Analytic Center Cutting Plane Method for Solving Semi-Infinite Variational Inequality Problems

PILOT, GRASP, and VNS approaches for the static balancing of bicycle sharing systems

Some optimization problems in multivariate statistics

A Rigorous Lower Bound for the Optimal Value of Convex Optimization Problems

Variational Inequalities and Applications to a Continuum Model of Transportation Network with Capacity Constraints

Solving Variational Inequality Problems with Linear Constraints by a Proximal Decomposition Algorithm

SHOW MORE ARTICLES

A Hybrid Descent Method for Global Optimization

Order-based error for managing ensembles of surrogates in mesh adaptive direct search

A New Decomposition Technique in Solving Multistage Stochastic Linear Programs by Infeasible Interior Point Methods

Efficient global optimization of constrained mixed variable problems