期刊簡介預計審稿時間： 約3.0個月

Evolutionary Computation is a leading journal in its field. It provides an international forum for facilitating and enhancing the exchange of information among researchers involved in both the theoretical and practical aspects of computational systems drawing their inspiration from nature, with particular emphasis on evolutionary models of computation such as genetic algorithms, evolutionary strategies, classifier systems, evolutionary programming, and genetic programming. It welcomes articles from related fields such as swarm intelligence (e.g. Ant Colony Optimization and Particle Swarm Optimization), and other nature-inspired computation paradigms (e.g. Artificial Immune Systems). As well as publishing articles describing theoretical and/or experimental work, the journal also welcomes application-focused papers describing breakthrough results in an application domain or methodological papers where the specificities of the real-world problem led to significant algorithmic improvements that could possibly be generalized to other areas.

《進化計算》是該領域的領先期刊。它提供了一個國際論壇，以促進和加強從事計算系統(tǒng)理論和實踐方面的研究人員之間的信息交流，這些研究人員從大自然中汲取靈感，特別強調(diào)進化計算模型，如遺傳算法、進化策略、分類器系統(tǒng)、進化編程和遺傳編程。它歡迎來自相關領域的文章，如群體智能（例如蟻群優(yōu)化和粒子群優(yōu)化）和其他受自然啟發(fā)的計算范式（例如人工免疫系統(tǒng)）。除了發(fā)表描述理論和/或?qū)嶒灩ぷ鞯奈恼峦?，該期刊還歡迎以應用為重點的論文，描述應用領域的突破性成果或方法論文，其中現(xiàn)實世界問題的特殊性導致了重大的算法改進，可能推廣到其他領域。

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