International Journal of Mathematical Modelling and Numerical Optimisation Inderscience Publishers Impact Factor

International Journal of Mathematical Modelling and Numerical Optimisation - Inderscience | 2024 Cite Score:1.5 | Q4

International Journal of Mathematical Modelling and Numerical Optimisation With Cite Score

Cite Score and Journal Rank of International Journal of Mathematical Modelling and Numerical Optimisation

About: International Journal of Mathematical Modelling and Numerical Optimisation is a peer-reviewed academic journal that focuses on the development and application of mathematical models and numerical methods for solving complex optimization problems. The journal covers a wide range of topics including mathematical modeling, numerical algorithms, optimization theory, and their applications across various fields such as engineering, economics, and the physical sciences. It aims to publish high-quality research that advances both theoretical and practical aspects of mathematical modeling and numerical optimization.
Objective
The primary objective of the International Journal of Mathematical Modelling and Numerical Optimisation is to advance the field of mathematical modeling and optimization by presenting innovative research that explores new methodologies, algorithms, and applications. The journal seeks to provide insights into the development of mathematical models and numerical techniques that address complex optimization problems, fostering the advancement of knowledge and practical solutions in these areas.
Interdisciplinary Approach
The journal supports an interdisciplinary approach by integrating research from various fields where mathematical modeling and numerical optimization are applied. It encourages submissions that bridge mathematics with disciplines such as engineering, finance, operations research, and computational sciences. This approach facilitates a comprehensive understanding of how mathematical and computational techniques can be employed to solve real-world problems across different domains.
Impact and Significance
International Journal of Mathematical Modelling and Numerical Optimisation has a significant impact on both theoretical and applied research in mathematical modeling and optimization. The journals articles contribute to the development of new models, algorithms, and techniques that influence academic research and practical applications. Its significance lies in providing a platform for high-quality research that drives innovation and advances the field of mathematical optimization.

Journal Home: Journal Homepage

Editor-in-Chief: Dr. M.A. Dorgham

Scope: International Journal of Mathematical Modelling and Numerical Optimisation focuses on the development and application of mathematical modelling and numerical optimisation techniques. The journal seeks to publish high-quality research that contributes to the advancement of mathematical methods for solving real-world problems across various domains.
Mathematical Modelling:
Research on the development and analysis of mathematical models for complex systems.
Studies on the formulation and validation of models in various fields such as engineering, biology, and economics.
Exploration of new techniques and approaches for constructing accurate and reliable models.
Numerical Optimisation:
Research on numerical algorithms and methods for optimisation problems.
Studies on the application of optimisation techniques to engineering, finance, and other disciplines.
Exploration of novel approaches and computational strategies for solving optimisation problems.
Computational Methods:
Research on the development and implementation of computational techniques for mathematical modelling and optimisation.
Studies on high-performance computing and parallel processing for solving large-scale problems.
Exploration of software tools and platforms for numerical analysis and optimisation.
Applied Mathematics:
Research on the application of mathematical theories and methods to practical problems.
Studies on interdisciplinary applications where mathematical modelling and optimisation play a crucial role.
Exploration of case studies and real-world applications of mathematical techniques.
Algorithm Development:
Research on the design and analysis of algorithms for solving mathematical and optimisation problems.
Studies on the efficiency, stability, and robustness of algorithms.
Exploration of algorithmic innovations and their impact on computational performance.
Data Analysis and Simulation:
Research on methods for data-driven modelling and simulation.
Studies on the use of simulations to validate mathematical models and optimisation results.
Exploration of techniques for handling and interpreting large datasets in the context of optimisation.
Optimization Theory:
Research on theoretical developments in optimisation theory.
Studies on advanced topics such as convex analysis, nonlinear optimisation, and stochastic optimisation.
Exploration of theoretical frameworks that underpin numerical optimisation methods.
Multi-Objective Optimization:
Research on techniques and algorithms for solving multi-objective optimisation problems.
Studies on the trade-offs and decision-making processes in multi-objective optimisation.
Exploration of applications where multiple conflicting objectives must be balanced.
Mathematical Programming:
Research on mathematical programming techniques, including linear, integer, and quadratic programming.
Studies on the development and application of programming models for optimisation problems.
Exploration of advancements in mathematical programming methodologies.