International Journal Of Applied Metaheuristic Computing

The International Journal of Applied Metaheuristic Computing is an academic journal dedicated to the field of metaheuristic computing. Its mission is to publish and disseminate original research on modeling, analysis, and applications in metaheuristic computing. The increasingly complex and unstructured engineering and business problems facing the world today make designing satisfactory algorithms for specific problems challenging, and metaheuristic computing provides new ideas for researchers and practitioners. It guides heuristic search beyond local optima, filling the capacity gap of traditional computational methods.

The topics covered by this magazine include but are not limited to heuristic function construction, mathematical optimization, algorithm design and analysis, mobile networks, machine learning, neural networks, classification supervised learning, clustering analysis, search methodology, life and medical sciences, etc. This provides a communication platform for researchers, scientists, practitioners, and students who wish to learn, analyze, improve, and apply metaheuristic computing techniques, enabling them to gain a deeper understanding of various aspects of metaheuristic computing. The content it covers fully utilizes higher-level problem-solving abilities, avoiding the hassle of designing specific problem operations every time a new application appears.

《国际应用元启发式计算杂志》是一份致力于元启发式计算领域的学术期刊。其使命是发表和传播有关元启发式计算中的建模、分析和应用的原创研究。当今世界面临的工程和商业问题越发复杂且无结构化，使得设计令人满意的特定问题算法变得具有挑战性，而元启发式计算为研究人员和从业者提供了新思路。它指导启发式搜索超越局部最优性，弥补了传统计算方法的能力缺陷。

该杂志涉及的主题包括但不限于启发式函数构建、数学优化、算法的设计与分析、移动网络、机器学习、神经网络、分类监督学习、聚类分析、搜索方法学、生命和医学科学等。为希望学习、分析、改进和应用元启发式计算技术的研究人员、科学家、从业者和学生提供了一个交流平台，使他们能够深入了解元启发式计算的各个方面。其涵盖的内容充分利用了更高级别的问题解决能力，避免了每次出现新应用时都需要设计特定问题操作的麻烦。

该刊已被国际权威数据库SCIE收录，该刊致力于发表经过严格同行评审的高质量原创文章，反映COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE领域的新进展、新技术、新成果，促进该领域科研交流和科研成果转化。该刊2023年影响因子为0.6，平均审稿速度为 ，近四年来没有被列入预警名单。如果您需要投稿发表服务及指导，可以联系我们的客服老师，我们专业专注服务期刊投稿协助10年，为您提供期刊投稿个性化定制服务，并且我们确保严格保密您的个人信息及稿件内容。