Memetic Computing

英文简介

Memetic Computing's goals are:To be an outlet for high quality research in hybrid metaheuristics (including evolutionary hybrids) for optimization, control and design in continuous and discrete optimization domains. We seek to dissolve the barriers separating metaheuristics, exact and approximation algorithms research and to bring forth a renewed impetus towards the investigation and understanding of promising new hybrid algorithmic technologies.To go beyond current search methodologies towards innovative research on the emergence of cultural artifacts such as game, trade and negotiation strategies and, more generally, rules of behavior as they apply to, for example, robotic, multi-agent and artificial life systems.Ultimately, Memetic Computing aspires to serve as a focal publication where the latest results in Natural Computation, Artificial Intelligence, Machine Learning, Operational Research and Natural Sciences (e.g. cognitive, animal and insect’s behavior, etc.) are combined together in novel ways in order to transcend the intrinsic limitations of a single discipline.Potential authors are invited to submit original research articles for publication consideration. Reviews and short communications may also be considered.

中文简介

模因计算的目标是:为混合元启发式(包括进化混合)的高质量研究提供一个出口，用于连续和离散优化领域的优化、控制和设计。我们寻求消除元启发式、精确算法和近似算法研究之间的障碍，为研究和理解有前景的混合算法新技术带来新的动力。超越当前的搜索方法，创新研究文化产物的出现，如游戏、贸易和谈判策略，以及更普遍的行为规则，如它们应用于机器人、多智能体和人工生命系统。模因计算的最终目标是成为一种焦点出版物，将自然计算、人工智能、机器学习、运筹学和自然科学(如认知、动物和昆虫的行为等)的最新成果以新颖的方式结合在一起，从而超越单一学科的内在局限。邀请有潜力的作者提交原创研究论文，以供参考。审查和简短的通信也可以考虑。

影响因子趋势图