Evolutionary Computation

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.

Evolutionary Computation 是该领域的领先期刊。它提供了一个国际论坛，促进和加强涉及计算系统理论和实践方面的研究人员之间的信息交流，从大自然中汲取灵感，特别强调计算的进化模型，如遗传算法、进化策略、分类器系统、进化规划和遗传规划。 它欢迎来自相关领域的文章，例如群体智能（例如蚁群优化和粒子群优化）和其他受自然启发的计算范例（例如人工免疫系统）。除了发表描述理论和/或实验工作的文章外，该期刊还欢迎以应用为中心的论文，描述应用领域的突破性成果或方法论论文，其中现实世界问题的特殊性导致了可以推广的重大算法改进到其他地区。