Optimization Methods & Software - Impact Factor

Optimization Methods & Software - Taylor & Francis | 2024 Impact Factor:1.4 | Cite Score:4.2 | Q2

Impact Factor and Journal Rank of Optimization Methods & Software

About: Optimization Methods & Software (OMS) publishes research articles, reviews, and software descriptions related to the theory, algorithms, implementation, and application of optimization methods. It covers a broad spectrum of optimization techniques and their practical implications in various disciplines.
Objectives
The primary objectives of the journal are:
Theoretical Advances: To advance the theoretical foundations of optimization methods, including mathematical programming, convex optimization, stochastic optimization, and more.
Algorithm Development: To develop and analyze algorithms for solving optimization problems efficiently and accurately.
Software Tools: To describe and evaluate optimization software packages and computational tools.
Applications: To showcase applications of optimization methods in engineering, economics, operations research, management science, and other fields.
Key Topics Covered
Mathematical Programming: Linear programming, integer programming, quadratic programming, etc.
Global Optimization: Methods for finding the global optimum of non-convex problems.
Metaheuristic Algorithms: Evolutionary algorithms, simulated annealing, particle swarm optimization, etc.
Multi-objective Optimization: Techniques for optimizing conflicting objectives simultaneously.
Constraint Optimization: Optimization under constraints, including nonlinear and discrete constraints.
Applications: Optimization in engineering design, logistics, finance, telecommunications, and more.
Impact and Significance
Optimization Methods & Software contributes significantly to:

Advancing Optimization Research: By publishing innovative research and developments in optimization methodologies.
Practical Applications: By demonstrating the practical relevance of optimization techniques in solving real-world problems.
Software Development: By promoting the development and dissemination of optimization software tools.
Interdisciplinary Collaboration: By fostering collaboration among researchers, practitioners, and developers across various disciplines.

Journal Home: Journal Homepage

Editor-in-Chief: Stefan Ulbrich

Scope: The journal covers a wide range of topics, including:
Optimization Methods and Software publishes peer-reviewed papers focusing on advancements in the theory and implementation of optimization methods. The journal emphasizes the intersection of software development and algorithm design in optimization.
Theory of Optimization: Development and analysis of theoretical frameworks in optimization methods.
Algorithm Design: Design and development of algorithms for linear, nonlinear, discrete, stochastic optimization, and optimal control problems.
Implementation: Practical implementation of optimization algorithms and their integration into software systems.
Performance Evaluation: Metrics and methodologies for evaluating the efficiency and effectiveness of optimization algorithms and software.
Software Development: Advances in software tools, libraries, and platforms for optimization.
Applications: Real-world applications of optimization methods across various domains including engineering, economics, logistics, and more.