Write in a clean editor, then format for International Journal of Mathematical Modelling and Numerical Optimisation in one click — DocuGuru applies the official Inderscience template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
International Journal of Mathematical Modelling and Numerical Optimisation is a peer-reviewed journal published by Inderscience, covering Differential Equations and Numerical Methods, Fractional Differential Equations Solutions, Metaheuristic Optimization Algorithms Research.
| Publisher | Inderscience |
|---|---|
| Reference style | Author–year (Harvard/AGSM) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Mathematical Modelling and Numerical Optimisation, 12(3), pp. 45–58.
Formats any DOI in International Journal of Mathematical Modelling and Numerical Optimisation style. No sign-up. |
| Publishes research in | Differential Equations and Numerical Methods Fractional Differential Equations Solutions Metaheuristic Optimization Algorithms Research Mathematical and Theoretical Epidemiology and Ecology Models Advanced Multi-Objective Optimization Algorithms |
| ISSN | 2040-3607 |
| Citation impact (2-yr) | 0.2 |
| h-index | 16 |
| i10-index | 36 |
| Total citations | 4,751 |
| Top institutions publishing here | Mohammed V University |
| Journal website | www.inderscience.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
A new metaheuristic optimisation algorithm, called Cuckoo Search (CS), was developed recently by Yang and Deb (2009). This paper presents a more extensive comparison study using some standard test functions and newly de-signed stochastic test functions. We then apply the CS algorithm to solve \nengineering design optimisation problems, including the design of springs and welded beam…
Test functions are important to validate and compare the performance of optimization algorithms. There have been many test or benchmark functions reported in the literature; however, there is no standard list or set of benchmark functions. Ideally, test functions should have diverse properties so that can be truly useful to test new algorithms in an…
This article describes a system for short term forecasting based on an ensemble prediction that averages over different combinations of predictors. The system combines a structural time series model for the target series with a regression component capturing the contributions of contemporaneous search query data. A spike-and-slab prior on the regression coefficients induces sparsity, dramatically…
We consider the problem of implementing simple and efficient Markov chain Monte Carlo (MCMC) estimation algorithms for state space models. A conceptually transparent derivation of the posterior distribution of the states is discussed, which also leads to
Cuckoo search (CS) is an efficient swarm-intelligence-based algorithm and significant developments have been made since its introduction in 2009. CS has many advantages due to its simplicity and efficiency in solving highly non-linear optimisation problems with real-world engineering applications. This paper provides a timely review of all the state-of-the-art developments in the last five years,…
