Subjects -> MATHEMATICS (Total: 1013 journals)
    - APPLIED MATHEMATICS (92 journals)
    - GEOMETRY AND TOPOLOGY (23 journals)
    - MATHEMATICS (714 journals)
    - MATHEMATICS (GENERAL) (45 journals)
    - NUMERICAL ANALYSIS (26 journals)
    - PROBABILITIES AND MATH STATISTICS (113 journals)

APPLIED MATHEMATICS (92 journals)

Showing 1 - 82 of 82 Journals sorted alphabetically
Advances in Applied Mathematics     Full-text available via subscription   (Followers: 12)
Advances in Applied Mathematics and Mechanics     Full-text available via subscription   (Followers: 7)
Advances in Applied Mechanics     Full-text available via subscription   (Followers: 15)
AKCE International Journal of Graphs and Combinatorics     Open Access  
American Journal of Applied Mathematics and Statistics     Open Access   (Followers: 10)
American Journal of Applied Sciences     Open Access   (Followers: 22)
American Journal of Modeling and Optimization     Open Access   (Followers: 2)
Annals of Actuarial Science     Full-text available via subscription   (Followers: 2)
Applied Mathematical Modelling     Full-text available via subscription   (Followers: 23)
Applied Mathematics and Computation     Hybrid Journal   (Followers: 31)
Applied Mathematics and Mechanics     Hybrid Journal   (Followers: 4)
Applied Mathematics and Nonlinear Sciences     Open Access   (Followers: 1)
Applied Mathematics and Physics     Open Access   (Followers: 3)
Biometrical Letters     Open Access  
British Actuarial Journal     Full-text available via subscription   (Followers: 2)
Bulletin of Mathematical Sciences and Applications     Open Access  
Communication in Biomathematical Sciences     Open Access   (Followers: 2)
Communications in Applied and Industrial Mathematics     Open Access   (Followers: 1)
Communications on Applied Mathematics and Computation     Hybrid Journal   (Followers: 1)
Differential Geometry and its Applications     Full-text available via subscription   (Followers: 4)
Discrete and Continuous Models and Applied Computational Science     Open Access  
Discrete Applied Mathematics     Hybrid Journal   (Followers: 10)
Doğuş Üniversitesi Dergisi     Open Access  
e-Journal of Analysis and Applied Mathematics     Open Access  
Engineering Mathematics Letters     Open Access   (Followers: 1)
European Actuarial Journal     Hybrid Journal  
Foundations and Trends® in Optimization     Full-text available via subscription   (Followers: 2)
Frontiers in Applied Mathematics and Statistics     Open Access   (Followers: 1)
Fundamental Journal of Mathematics and Applications     Open Access  
International Journal of Advances in Applied Mathematics and Modeling     Open Access   (Followers: 1)
International Journal of Applied Mathematics and Statistics     Full-text available via subscription   (Followers: 3)
International Journal of Computer Mathematics : Computer Systems Theory     Hybrid Journal  
International Journal of Data Mining, Modelling and Management     Hybrid Journal   (Followers: 10)
International Journal of Engineering Mathematics     Open Access   (Followers: 4)
International Journal of Fuzzy Systems     Hybrid Journal  
International Journal of Swarm Intelligence     Hybrid Journal   (Followers: 2)
International Journal of Theoretical and Mathematical Physics     Open Access   (Followers: 13)
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems     Hybrid Journal   (Followers: 3)
Journal of Advanced Mathematics and Applications     Full-text available via subscription   (Followers: 1)
Journal of Advances in Mathematics and Computer Science     Open Access  
Journal of Applied & Computational Mathematics     Open Access  
Journal of Applied Intelligent System     Open Access  
Journal of Applied Mathematics & Bioinformatics     Open Access   (Followers: 6)
Journal of Applied Mathematics and Physics     Open Access   (Followers: 9)
Journal of Computational Geometry     Open Access   (Followers: 3)
Journal of Innovative Applied Mathematics and Computational Sciences     Open Access   (Followers: 11)
Journal of Mathematical Sciences and Applications     Open Access   (Followers: 2)
Journal of Mathematics and Music: Mathematical and Computational Approaches to Music Theory, Analysis, Composition and Performance     Hybrid Journal   (Followers: 12)
Journal of Mathematics and Statistics Studies     Open Access  
Journal of Physical Mathematics     Open Access   (Followers: 2)
Journal of Symbolic Logic     Hybrid Journal   (Followers: 2)
Letters in Biomathematics     Open Access   (Followers: 1)
Mathematical and Computational Applications     Open Access   (Followers: 3)
Mathematical Models and Computer Simulations     Hybrid Journal   (Followers: 3)
Mathematics and Computers in Simulation     Hybrid Journal   (Followers: 3)
Modeling Earth Systems and Environment     Hybrid Journal   (Followers: 1)
Moscow University Computational Mathematics and Cybernetics     Hybrid Journal  
Multiscale Modeling and Simulation     Hybrid Journal   (Followers: 2)
Pacific Journal of Mathematics for Industry     Open Access  
Partial Differential Equations in Applied Mathematics     Open Access   (Followers: 2)
Ratio Mathematica     Open Access  
Results in Applied Mathematics     Open Access   (Followers: 1)
Scandinavian Actuarial Journal     Hybrid Journal   (Followers: 2)
SIAM Journal on Applied Dynamical Systems     Hybrid Journal   (Followers: 3)
SIAM Journal on Applied Mathematics     Hybrid Journal   (Followers: 11)
SIAM Journal on Computing     Hybrid Journal   (Followers: 11)
SIAM Journal on Control and Optimization     Hybrid Journal   (Followers: 18)
SIAM Journal on Discrete Mathematics     Hybrid Journal   (Followers: 8)
SIAM Journal on Financial Mathematics     Hybrid Journal   (Followers: 3)
SIAM Journal on Imaging Sciences     Hybrid Journal   (Followers: 7)
SIAM Journal on Mathematical Analysis     Hybrid Journal   (Followers: 4)
SIAM Journal on Matrix Analysis and Applications     Hybrid Journal   (Followers: 3)
SIAM Journal on Numerical Analysis     Hybrid Journal   (Followers: 7)
SIAM Journal on Optimization     Hybrid Journal   (Followers: 12)
SIAM Journal on Scientific Computing     Hybrid Journal   (Followers: 16)
SIAM Review     Hybrid Journal   (Followers: 9)
SIAM/ASA Journal on Uncertainty Quantification     Hybrid Journal   (Followers: 2)
Swarm Intelligence     Hybrid Journal   (Followers: 3)
Theory of Probability and its Applications     Hybrid Journal   (Followers: 2)
Uniform Distribution Theory     Open Access  
Universal Journal of Applied Mathematics     Open Access   (Followers: 1)
Universal Journal of Computational Mathematics     Open Access   (Followers: 3)
Similar Journals
Journal Cover
International Journal of Swarm Intelligence
Number of Followers: 2  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2049-4041 - ISSN (Online) 2049-405X
Published by Inderscience Publishers Homepage  [451 journals]
  • A coupled multi-linear regression and genetic algorithm-based modelling
           and optimisation of surface roughness in machining of brass

    • Free pre-print version: Loading...

      Authors: Suhail Ahmed Manroo, Suhail Ganiny
      Pages: 123 - 140
      Abstract: In this paper, the authors present a multi-linear regression-based approach for the modelling of surface roughness during the turning of a commercial brass alloy. Three regression models are developed by utilising the experimental data gathered following a full-factorial-based design-of-experiments (DoEs) methodology. While the conventional practice has been to develop regression models using the entire experimental datasets, we deviate from the same and employ only a subset of the available data for the purpose, the remaining data being used for the model validation. The results obtained herein reveal that the second order regression model is statistically better than the other two in predicting the surface roughness for both the datasets. The global minimum surface roughness is determined by using the developed regression models in conjunction with the genetic algorithm-based single objective optimisation. The regression models serve as candidate objective functions for the genetic algorithm. The optimisation results reveal that the global minimum obtained using the second order regression model is in close agreement (accuracy - 94%) with the experimentally obtained minimum surface roughness and thus reaffirms the effectiveness of the second order regression model in predicting the surface roughness of brass during turning operation.
      Keywords: surface roughness; modelling; multi-linear regression; optimisation; genetic algorithm
      Citation: International Journal of Swarm Intelligence, Vol. 7, No. 2 (2022) pp. 123 - 140
      PubDate: 2022-05-26T23:20:50-05:00
      DOI: 10.1504/IJSI.2022.123085
      Issue No: Vol. 7, No. 2 (2022)
       
  • MPPT optimisation techniques and power electronics for renewable energy
           systems: wind and solar energy systems

    • Free pre-print version: Loading...

      Authors: Abrar Ahmed Chhipa, Shripati Vyas, Vinod Kumar, R.R. Joshi
      Pages: 141 - 167
      Abstract: This study proposes the challenges faced by the present renewable energy scenario and the contribution of power electronics and maximum power point tracking (MPPT) optimisation techniques. India is one of the leading energy harvester country in the world. Power electronics keep power system operation stable, harvest electric power from renewable energy sources (RESs), and reduce energy consumption. This study has focused on power electronics and MPPT optimisation techniques for wind energy and photovoltaic energy and points out some aspects related to configuration for integration, energy storage technologies, reliability, and grid connection. Apart from this, modern optimisation techniques for MPPT control using artificial intelligence like fuzzy control and neural network control are also presented in this study.
      Keywords: energy optimisation; optimisation techniques; renewable energy; wind energy; solar energy; energy storage; maximum power point tracking; MPPT; wind MPPT; solar MPPT; power electronics; artificial intelligence; fuzzy logic; neural network
      Citation: International Journal of Swarm Intelligence, Vol. 7, No. 2 (2022) pp. 141 - 167
      PubDate: 2022-05-26T23:20:50-05:00
      DOI: 10.1504/IJSI.2022.123092
      Issue No: Vol. 7, No. 2 (2022)
       
  • Optimisation of EDM process parameters by application of genetic algorithm

    • Free pre-print version: Loading...

      Authors: Sumit Sharma, Love Kishore Sharma, Dheeraj Joshi, Mohammad Israr, Ritesh Mathur, Deepak Sharma
      Pages: 168 - 181
      Abstract: The EDM efficiency can be strengthened by suitably defining the critical factors and their values for obtaining desired responses. In the present research work, response surface methodology (RSM) with face centred cubic (FCC) approach is implemented for correlating the response, i.e., material removal rate (MRR) with control factors, i.e., voltage, peak current, pulse on time. These factors provide maximum MRR of 230.6 gm/min. To obtain the optimal solution, genetic algorithm (GA) is coupled with the obtained mathematical model. The dielectric fluid used is kerosene oil. ANOVA and F-test are used to check for model validation. R<SUP align="right">2</SUP> and adjusted R<SUP align="right">2</SUP> which confirms the validity of proposed model. The work piece material used in research work is AISI 4140 steel.
      Keywords: response surface methodology; RSM; face centred cubic; FCC; material removal rate; MRR; genetic algorithm; ANOVA
      Citation: International Journal of Swarm Intelligence, Vol. 7, No. 2 (2022) pp. 168 - 181
      PubDate: 2022-05-26T23:20:50-05:00
      DOI: 10.1504/IJSI.2022.123073
      Issue No: Vol. 7, No. 2 (2022)
       
  • A comprehensive review on recent intelligent metaheuristic algorithms

    • Free pre-print version: Loading...

      Authors: S. Rajalakshmi, S. Kanmani
      Pages: 182 - 205
      Abstract: Metaheuristics is an interesting research area with significant advances in solving problems with optimisation. Substantial advancements in metaheuristic are being made, and various new algorithms are being developed every day. The analyses in this area will undoubtedly be helpful for future improvements. This paper's main objective is to conduct a literature review of some recent algorithms motivated by nature to compare their features. This paper reviews some recently published nature inspired algorithms such as squirrel search algorithm (SSA), improved squirrel search algorithm (ISSA), grey wolf optimiser (GWO) algorithm, random walk grey wolf optimiser (RW_GWO) algorithm, sailfish optimiser (SAO) algorithm, sandpiper optimisation algorithm (SOA), search and rescue operations (SRO) algorithm, slime mould optimisation (SMO) algorithm, grasshopper optimisation algorithm (GOA) and opposition based learning grasshopper optimisation algorithm (OBLGOA). This paper focuses on a brief introduction of these algorithms and key concepts involved in formulation of swarm intelligence. Finally, this work outlines the directions for conducting effective future research.
      Keywords: metaheuristics; optimisation; swarm intelligence; improved metaheuristics
      Citation: International Journal of Swarm Intelligence, Vol. 7, No. 2 (2022) pp. 182 - 205
      PubDate: 2022-05-26T23:20:50-05:00
      DOI: 10.1504/IJSI.2022.123076
      Issue No: Vol. 7, No. 2 (2022)
       
  • Determination and optimisation of global grain transport areas

    • Free pre-print version: Loading...

      Authors: Xinjie Shi, Bochen Zhang, Xiaoli Yang, Xusheng Kang
      Pages: 206 - 216
      Abstract: At present, there are many defects in the global grain allocation, such as large grain losses and high consumption. Especially, the global grain allocation is particularly unbalanced, which leads to the phenomenon of 'world hunger' becoming more and more serious. This paper proposes establishing several grain transshipments globally to coordinate the global grain allocation. To alleviate the imbalance of grain allocation, this paper uses the per capita grain output and per capita GDP of each country to estimate the weight of grain allocation in each country by using the entropy weight method. Based on this weight and the geographical location of each country, all countries and regions of the world are divided into several grain transshipment sub-regions by using the clustering analysis method. For each grain transshipment sub-region, the advantages and disadvantages of the single-transshipment model and the double-transshipment model are compared by using intelligent algorithms such as the immune algorithm, and the optimal grain transshipment location for construction and implementation is obtained by manually adjusting the optimal longitude and latitude obtained by the algorithm. Finally, the validity of the model algorithm is verified by simulation.
      Keywords: grain transshipment location; entropy weight method; cluster analysis method; grain transshipment sub-regions; immune algorithm
      Citation: International Journal of Swarm Intelligence, Vol. 7, No. 2 (2022) pp. 206 - 216
      PubDate: 2022-05-26T23:20:50-05:00
      DOI: 10.1504/IJSI.2022.123101
      Issue No: Vol. 7, No. 2 (2022)
       
  • Hybrid architecture for intelligent bidding in hourly-based
           electricity market

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      Authors: Kavita Jain, Akash Saxena
      Pages: 217 - 241
      Abstract: The paper presents a hybrid structure, that develops the foremost bidding strategies for an electrical power generating company (GenCo) for an hourly-based electricity market (EM). For a GenCo, to develop the most desirable bidding technique, an outcome of a two-level optimisation process is used. The two-levels of optimisation are as follows: at the primary level, the goal of GenCo is to strategically bid for maximum benefit, and the independent system operator (ISO) analyses the market clearing price (MCP) at the secondary level to help measure the quantity of energy dispatched for each GenCo to optimise global welfare. In this paper, we trained a neural network (NN) by using whale optimisation algorithm (WOA) to achieve a high hourly profit for GenCo. The efficacy of the proposed hybrid structure is decided via numerous case research on the benchmark IEEE 14-bus test system in an hourly-based market with a dynamically converting demand profile. For the GenCo, block bidding supply function is taken and optimal bidding technique is explored with changing demand. Strategic bidding is a method discovered inside an oligopoly EM that has many insinuations on the layout and policy-making of the mechanism.
      Keywords: electricity market; EM; oligopoly; strategic bidding; optimisation technique; whale optimisation algorithm; WOA
      Citation: International Journal of Swarm Intelligence, Vol. 7, No. 2 (2022) pp. 217 - 241
      PubDate: 2022-05-26T23:20:50-05:00
      DOI: 10.1504/IJSI.2022.123102
      Issue No: Vol. 7, No. 2 (2022)
       
 
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