模因計(jì)算的目標(biāo)是:為混合元啟發(fā)式(包括進(jìn)化混合)的高質(zhì)量研究提供一個(gè)出口，用于連續(xù)和離散優(yōu)化領(lǐng)域的優(yōu)化、控制和設(shè)計(jì)。我們尋求消除元啟發(fā)式、精確算法和近似算法研究之間的障礙，為研究和理解有前景的混合算法新技術(shù)帶來新的動力。超越當(dāng)前的搜索方法，創(chuàng)新研究文化產(chǎn)物的出現(xiàn)，如游戲、貿(mào)易和談判策略，以及更普遍的行為規(guī)則，如它們應(yīng)用于機(jī)器人、多智能體和人工生命系統(tǒng)。模因計(jì)算的最終目標(biāo)是成為一種焦點(diǎn)出版物，將自然計(jì)算、人工智能、機(jī)器學(xué)習(xí)、運(yùn)籌學(xué)和自然科學(xué)(如認(rèn)知、動物和昆蟲的行為等)的最新成果以新穎的方式結(jié)合在一起，從而超越單一學(xué)科的內(nèi)在局限。邀請有潛力的作者提交原創(chuàng)研究論文，以供參考。審查和簡短的通信也可以考慮。

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.