期刊簡介預計審稿時間：

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.

《國際應用元啟發(fā)式計算雜志》是一份致力于元啟發(fā)式計算領域的學術期刊。其使命是發(fā)表和傳播有關元啟發(fā)式計算中的建模、分析和應用的原創(chuàng)研究。當今世界面臨的工程和商業(yè)問題越發(fā)復雜且無結構化，使得設計令人滿意的特定問題算法變得具有挑戰(zhàn)性，而元啟發(fā)式計算為研究人員和從業(yè)者提供了新思路。它指導啟發(fā)式搜索超越局部最優(yōu)性，彌補了傳統(tǒng)計算方法的能力缺陷。

該雜志涉及的主題包括但不限于啟發(fā)式函數(shù)構建、數(shù)學優(yōu)化、算法的設計與分析、移動網絡、機器學習、神經網絡、分類監(jiān)督學習、聚類分析、搜索方法學、生命和醫(yī)學科學等。為希望學習、分析、改進和應用元啟發(fā)式計算技術的研究人員、科學家、從業(yè)者和學生提供了一個交流平臺，使他們能夠深入了解元啟發(fā)式計算的各個方面。其涵蓋的內容充分利用了更高級別的問題解決能力，避免了每次出現(xiàn)新應用時都需要設計特定問題操作的麻煩。

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