International Journal of Applied Metaheuristic Computing - IGI Global | 2024 Impact Factor:0.7 | Cite Score:2.9 | Q3

Cite Score and Journal Rank of International Journal of Applied Metaheuristic Computing

• About: The primary objective of the International Journal of Applied Metaheuristic Computing is to advance the understanding and application of metaheuristic methods across a variety of domains. The journal seeks to publish research that not only develops new metaheuristic algorithms but also demonstrates their practical utility in solving complex problems in engineering, computer science, management, and other fields. It aims to bridge the gap between theoretical research and practical implementation, offering insights that are valuable to both academia and industry.
• Topics Covered
  The journal covers a broad spectrum of topics related to metaheuristic computing, including but not limited to: Development of new metaheuristic algorithms Hybrid metaheuristic approaches Applications in engineering design and optimization Metaheuristics in machine learning and data mining Scheduling and resource allocation problems Network design and optimization Bioinformatics and computational biology Metaheuristics in finance and economics Case studies and real-world applications
• Interdisciplinary Approach
  The International Journal of Applied Metaheuristic Computing promotes an interdisciplinary approach by encouraging research that applies metaheuristic methods to a wide range of problem domains. The journal invites contributions that demonstrate the effectiveness of metaheuristics in areas such as artificial intelligence, operations research, industrial engineering, and beyond. This interdisciplinary perspective helps to foster innovation and allows researchers to explore the broad applicability of metaheuristic techniques.
• Impact and Significance
  The International Journal of Applied Metaheuristic Computing is recognized for its contribution to advancing the field of metaheuristic computing and its applications. The journals rigorous peer-review process ensures the publication of high-quality research that is both scientifically sound and practically relevant. By focusing on applied research, the journal provides valuable insights into how metaheuristic algorithms can be leveraged to solve complex real-world problems, making it a vital resource for researchers, practitioners, and educators. The journals emphasis on both theoretical development and practical implementation makes it a significant contributor to the ongoing evolution of optimization techniques in various fields.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Peng-Yeng Yin

• Scope: The International Journal of Applied Metaheuristic Computing (IJAMC) is a peer-reviewed journal that focuses on the application of metaheuristic algorithms to solve complex optimization problems. Metaheuristic methods are high-level procedures designed to find good solutions to hard optimization problems in a reasonable amount of time, and they are widely used in various fields such as engineering, economics, computer science, and operations research.
• Metaheuristic Algorithms:
  Genetic Algorithms: Research on genetic algorithms (GA) for optimization problems, including variations such as genetic programming and evolutionary strategies.
• Particle Swarm Optimization: Studies on particle swarm optimization (PSO) techniques and their applications in various domains.
• Simulated Annealing: Exploration of simulated annealing algorithms and their use in finding global optima in complex search spaces.
• Ant Colony Optimization: Research on ant colony optimization (ACO) inspired by the foraging behavior of ants, applied to network routing, scheduling, and other problems.
• Tabu Search: Studies on tabu search algorithms and their applications in combinatorial optimization.
• Artificial Immune Systems: Exploration of algorithms inspired by the immune system, applied to optimization, anomaly detection, and classification problems.
• Applications of Metaheuristics:
  Engineering Design: Application of metaheuristic techniques to solve complex design optimization problems in engineering fields such as aerospace, mechanical, and civil engineering.
• Supply Chain Optimization: Research on using metaheuristic algorithms to optimize supply chain networks, logistics, and inventory management.
• Finance and Economics: Studies on the use of metaheuristics for portfolio optimization, financial forecasting, and risk management.
• Healthcare Optimization: Exploration of metaheuristic approaches in healthcare, including scheduling of medical staff, patient flow optimization, and resource allocation.
• Data Mining and Machine Learning: Application of metaheuristic methods to feature selection, clustering, and classification problems in data mining and machine learning.
• Telecommunications and Network Optimization: Research on optimizing network design, routing, and bandwidth allocation using metaheuristic algorithms.
• Hybrid Metaheuristics:
  Combination of Algorithms: Research on hybridizing metaheuristics with other optimization techniques, such as combining genetic algorithms with local search methods or integrating PSO with machine learning models.
• Multi-objective Optimization: Studies on multi-objective optimization using metaheuristics to balance trade-offs between conflicting objectives.
• Comparative Studies and Benchmarking:
  Performance Evaluation: Comparative studies evaluating the performance of different metaheuristic algorithms on benchmark optimization problems.
• Algorithm Benchmarking: Research on standardizing the benchmarking of metaheuristic algorithms across various problem domains.
• Software and Tools:
  Development of Metaheuristic Tools: Research on software frameworks and tools for implementing and testing metaheuristic algorithms.
• Case Studies: Application of developed metaheuristic tools to real-world optimization problems and presenting case studies on their effectiveness.
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  1947-8283

  Electronic ISSN:  1947-8291

• Abstracting and Indexing:  Scopus, Emerging Sources Citation Index

• Imapct Factor 2024:  0.7

• Subject Area and Category:  Computer Science,Computational Theory and Mathematics,Computer Science Applications,Decision Sciences,Decision Sciences (miscellaneous),Mathematics,Computational Mathematics,Control and Optimization, Modeling and Simulation,Statistics and Probability

• Publication Frequency:  

• H Index:  9

• Best Quartile:

  Q1:  

  Q2:  

  Q3:  Computational Mathematics

  Q4:  

• Cite Score:  2.9

• SNIP:  0.366

• Journal Rank(SJR):  0.216

• Latest Articles:   Latest Articles in International Journal of Applied Metaheuristic Computing

• Guidelines for Authors: International Journal of Applied Metaheuristic Computing Author Guidelines

• Paper Submissions: Paper Submissions in International Journal of Applied Metaheuristic Computing

• Publisher:  IGI Global Publishing

  Country:  United States

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