Swarm And Evolutionary Computation SCISCIE

Swarm and Evolutionary Computation is the first peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms. It publishes advanced, innovative and interdisciplinary research involving the theoretical, experimental and practical aspects of the two paradigms and their hybridizations. Swarm and Evolutionary Computation is committed to timely publication of very high-quality, peer-reviewed, original articles that advance the state-of-the art of all aspects of evolutionary computation and swarm intelligence. Survey papers reviewing the state-of-the-art of timely topics will also be welcomed as well as novel and interesting applications.

Topics of interest include but are not limited to: Genetic Algorithms, and Genetic Programming, Evolution Strategies, and Evolutionary Programming, Differential Evolution, Artificial Immune Systems, Particle Swarms, Ant Colony, Bacterial Foraging, Artificial Bees, Fireflies Algorithm, Harmony Search, Artificial Life, Digital Organisms, Estimation of Distribution Algorithms, Stochastic Diffusion Search, Quantum Computing, Nano Computing, Membrane Computing, Human-centric Computing, Hybridization of Algorithms, Memetic Computing, Autonomic Computing, Self-organizing systems, Combinatorial, Discrete, Binary, Constrained, Multi-objective, Multi-modal, Dynamic, and Large-scale Optimization.

Swarm and Evolutionary Computation 是同类中第一份经过同行评审的出版物，旨在报告基于群体和进化算法原理的自然启发智能计算领域的最新研究和发展。它发表先进的、创新的和跨学科的研究，涉及两种范式及其混合的理论、实验和实践方面。 Swarm and Evolutionary Computation 致力于及时发表高质量的、经过同行评审的原创文章，这些文章推动了进化计算和群体智能各个方面的最新技术水平。审查最新及时主题的调查论文以及新颖有趣的应用程序也将受到欢迎。

感兴趣的主题包括但不限于：遗传算法和遗传编程、进化策略和进化编程、差异进化、人工免疫系统、粒子群、蚁群、细菌觅食、人造蜜蜂、萤火虫算法、和谐搜索, 人工生命, 数字生物, 分布算法估计, 随机扩散搜索, 量子计算, 纳米计算, 膜计算, 以人为中心的计算, 算法的混合, 模因计算, 自主计算, 自组织系统, 组合, 离散,二元、约束、多目标、多模态、动态和大规模优化。

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