International Journal of Applied Metaheuristic Computing

Aims & Scope

The mission of International Journal of Applied Metaheuristic Computing (IJAMC) is to publish and disseminate original research on modeling, analysis, and applications in metaheuristic computing.

The engineering and business problems the world faces today have become more impenetrable and unstructured, making the design of a satisfactory problem-specific algorithm nontrivial.

Alternatively, researchers and practitioners look for generic metaheuristic computing that guides the course of a heuristic to search beyond the local optimality, which impairs the capability of traditional computation methods.

Providing a forum for researchers, scientists, practitioners and students who wish to learn, analyze, improve and apply technologies in metaheuristic computing, IJAMC provides insights into all aspects of metaheuristic computing that take full advantage of higher level problem solving without a hassle to design problem-specific operations each time a new application appears.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2024	0.60

Journal Rank

Year	Value
2024	20278

Journal Citation Indicator

Year	Value
2024	53

SJR (SCImago Journal Rank)

Year	Value
2024	0.216

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	9

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• A Rigorous Analysis of the Harmony Search Algorithm

  Citation: 122

  Authors: Dennis

• A Reinforcement Learning - Great-Deluge Hyper-Heuristic for Examination Timetabling

  Citation: 84

  Authors: Ender, Mustafa, Gabriela, Edmund K.

• A Survey on Evolutionary Instance Selection and Generation

  Citation: 51

  Authors: Joaquín, Salvador, Francisco

• Enhanced Directed Differential Evolution Algorithm for Solving Constrained Engineering Optimization Problems

  Citation: 41

  Authors: Ali Wagdy, Ali Khater, Ehab Z., Mohamed

• Multivariate Adaptive Regression Spline and Least Square Support Vector Machine for Prediction of Undrained Shear Strength of Clay

  Citation: 36

  Authors: Pijush, Pradeep

• A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem

  Citation: 35

  Authors: Rahul, Satchidananda, Sung Bae

• Modified Sub-Population Based Heat Transfer Search Algorithm for Structural Optimization

  Citation: 35

  Authors: Ghanshyam, Vimal, Vivek

• Moth-Flame Optimization Algorithm Based Multilevel Thresholding for Image Segmentation

  Citation: 28

  Authors: Abdul Kayom Md, Saurabh

• Movement Strategies for Multi-Objective Particle Swarm Optimization

  Citation: 27

  Authors: S., V.

• An Adaptive Second Order Neural Network with Genetic-Algorithm-based Training (ASONN-GA) to Forecast the Closing Prices of the Stock Market

  Citation: 26

  Authors: Sarat Chandra, Bijan Bihari, Himansu Sekhar

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