雜志介紹

Swarm And Evolutionary Computation雜志介紹

《Swarm And Evolutionary Computation》是一本以English為主的未開(kāi)放獲取國(guó)際優(yōu)秀期刊，中文名稱(chēng)群體和進(jìn)化計(jì)算，本刊主要出版、報(bào)道計(jì)算機(jī)科學(xué)-COMPUTER SCIENCE, THEORY & METHODS領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專(zhuān)業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國(guó)際權(quán)威數(shù)據(jù)庫(kù)SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用，也得到了本專(zhuān)業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為8.2，最新CiteScore 指數(shù)為16。

本刊近期中國(guó)學(xué)者發(fā)表的論文主要有：

• An efficient Bayesian network structure learning algorithm based on structural information

  Author: Fang, Wei; Zhang, Weijian; Ma, Li; Wu, Yunlin; Yan, Kefei; Lu, Hengyang; Sun, Jun; Wu, Xiaojun; Yuan, Bo

• Incorporating Surprisingly Popular Algorithm and Euclidean distance-based adaptive topology into PSO

  Author: Wu, Xuan; Han, Jizong; Wang, Di; Gao, Pengyue; Cui, Quanlong; Chen, Liang; Liang, Yanchun; Huang, Han; Lee, Heow Pueh; Miao, Chunyan; Zhou, You; Wu, Chunguo

• A reference vector based multiobjective evolutionary algorithm with Q-learning for operator adaptation

  Author: Jiao, Keming; Chen, Jie; Xin, Bin; Li, Li

• Invasive weed optimization for multi-AGVs dispatching problem in a matrix manufacturing workshop

  Author: Li, Zhong-Kai; Sang, Hong-Yan; Li, Jun-Qing; Han, Yu-Yan; Gao, Kai-Zhou; Zheng, Zhi-Xin; Liu, Li-li

英文介紹

Swarm And Evolutionary Computation雜志英文介紹

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.