• Home
  • /
  • Shop
  • /
  • International Journal of Algorithms Design and Analysis Review

International Journal of Algorithms Design and Analysis Review

1,975  7,315 Price range: 1,975 ₹ through 7,315 ₹

The International Journal of Algorithms, Design, and Analysis Review (IJADAR) is a peer-reviewed publication presenting cutting-edge research in algorithm design, analysis, optimization, data structures, and computational complexity. Published by STM Journals, it offers high-quality, innovative studies valuable for computer scientists, researchers, developers, and students. Available in both online and print formats, this journal provides essential insights for advancing modern computing and algorithmic solutions.

Add to Wishlist
Add to Wishlist
SKU: J0041 Categories: , Tags: ,

International Journal of Algorithms, Design and Analysis Review

The International Journal of Algorithms, Design and Analysis Review (IJADAR) by STM Journals is a peer-reviewed academic publication dedicated to advancing research in algorithms, computational theory, and system design. This journal serves as an essential resource for computer scientists, software engineers, data scientists, academicians, and industry innovators seeking cutting-edge insights into algorithmic development and performance optimization. Through high-quality articles contributed by global experts, the journal supports the advancement of efficient, scalable, and reliable computational methods that drive modern technology.

What This Journal Covers: Key Focus Areas

This journal spans a comprehensive spectrum of topics related to the theory and practice of algorithms:

  • Algorithm Theory & Foundations: Exploration of algorithmic principles, complexity analysis, mathematical foundations, and proofs of correctness for classical and modern algorithms.
  • Design & Optimization Techniques: Innovative methods for designing faster, more efficient algorithms and heuristics for complex computational problems.
  • Data Structures & Computational Models: Advanced data structures, memory-optimized models, graph representations, and specialized computation paradigms.
  • Algorithmic Applications: Real-world applications in artificial intelligence, cryptography, machine learning, computer vision, scheduling, and bioinformatics.
  • Parallel, Distributed & Cloud Algorithms: Research on scalable computation, load balancing strategies, distributed computing frameworks, and high-performance algorithmic systems.

Who Should Read the Journal

This journal is a valuable resource for:

  • Computer Scientists & Researchers working on theoretical and applied algorithmic innovations.

  • Software Developers & Engineers optimizing systems, applications, and computational workflows.

  • Data Scientists & AI Practitioners implementing algorithms for large-scale data processing and intelligent systems.

  • Academicians & Students in computer science, information technology, and engineering.

  • Industry Professionals engaged in performance-critical system design and technology development.

Why It Matters

Algorithms are the backbone of modern computing. This journal plays a crucial role in:

  • Advancing Theoretical Knowledge: Supporting the development of new frameworks that push the boundaries of algorithmic science.
  • Driving Innovation in Technology: Enabling the creation of faster, more reliable software and hardware systems.
  • Solving Real-World Problems: Providing algorithmic solutions to challenges in healthcare, transportation, cybersecurity, communication systems, and more.
  • Promoting Scalable Computing: Sharing research essential for building efficient systems in an era of big data and cloud-scale computation.

Submission & Peer-Review

Available in online and print formats:

  • Online Subscription: Instant access to current issues, archives, and digital resources through STM Journals’ intuitive online platform.
  • Print Subscription: Receive high-quality printed volumes for institutional libraries, research labs, or personal reference.

Why Choose STM Journals?

STM Journals is a trusted publisher committed to delivering high-quality scientific content, offering:

  • Rigorous Peer-Review: Ensuring the validity, significance, and originality of every published work.

  • Global Reach and Indexing: Maximizing the visibility and impact of your research across the global scientific community.

  • Rapid Publication Process: A streamlined workflow to share important algorithmic research findings promptly with the global audience.

  • Specialized Focus: Providing a dedicated platform that champions research on all aspects of algorithm design, analysis, and application.

About Journal

International Journal of Algorithms Design and Analysis Review International Journal of Algorithms Design and Analysis Review:is a peer-reviewed hybrid open-access journal launched in 2015 that focuses on original research and practice-driven application with relevance to algorithms designs and analysis. All articles included are peer-reviewed by scholars with colossal experience in the same fields. Dynamic programming, amortized analysis, and linear programming are major focus areas.


View Editorial Board

Journal Information

Title: International Journal of Algorithms Design and Analysis Review Abbreviation: IJADAR
Issues Per Year: 2 Issues Starting Year: 2023
E-ISSN: 2584-1866 Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/IJADAR Language: English
Publication Format: Hybrid Open Access Type: Peer-reviewed Journal (Refereed Journal)
Copyright Policy: CC BY-NC-ND

Indexing & Metrics

Indexing: Scientific Literature (SCILIT), Google Scholar

Impact Factor (SJIF): 2024: 3.42 | 2023: 3.044

Focus & Scope

Advanced Algorithmic Paradigms & Optimization Systems

An integrated computational roadmap—bridging classic divide-and-conquer logic with randomized algorithms, dynamic programming, and high-level meta-heuristics.

Divide & Conquer

Applying Merge and Quick Sort architectures to Big Data. Utilizing Delaunay triangulation and decomposition for creep property prediction in alloy design and wind energy forecasting.

Dynamic & Robust Control

Executing Markov Decision Processes (MDPs) and RADP for nonlinear systems. Optimizing energy management in hybrid buses and solving Traveling Salesman Problems (TSP) through reinforcement learning.

Search & Scheduling

Deploying greedy iterated local searches for flowshop scheduling. Utilizing backtracking and Swarm Intelligence (Whale/Moth-flame) for home energy management and renewable converters.

Optimization & Probability

Applying the Simplex method and Multi-objective Linear Programming (MOLP) to supply chains. Leveraging randomized algorithms for PageRank and networked control systems.

Logic & Complexity

Analyzing amortized efficiency in Splay trees and disjoint set unions. Exploring game semantics in ALGOL 60 and neurogenetic models to understand genotype-phenotype relations.

Evolutionary Design

Integrating Genetic Algorithms and Differential Evolution with AdaBoost. Focused on parametric design in CAD and MPPT algorithms for maximum power point tracking in solar electronics.

Contact Us

Contact Us
EX: Subscription, Publication, Complain, Support etc...

>
Select for currency