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Evolutionary computation methods for synchronization of effects based operations

机译：用于基于效果的操作同步的进化计算方法

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Genetic and evolutionary algorithms (GEA) are efficientnature-inspired planning and optimization methods based on theprinciples of natural evolution and genetics. Due to theirefficiency and the simple underlying principles, these methods areused for a large number of problems in the context of problemsolving, optimization, and machine learning. The book at handpresents a careful selection of papers that address the latesttrends and hot topics in GEAs.>All papers in this book have been presented at the workshopsessions at the Genetic and Evolutionary Computation Conference(GECCO) 2005. The format and style of the workshops was varying.The common property of the workshops was that they addressedcurrent trends and hot topics in GEA research and application.>The GECCO 2005 workshops, of which this volume contains theproceedings, were held in Washington, D.C., USA, on June 25-26,2005. The GECCO 2005 workshop series consisted of the followingindividual workshops:>• BioGEC2005, the Fourth annual Workshop on BiologicalApplications of Genetic and Evolutionary Computation,>• EvoDOP 2005, the FirstWorkshop on EvolutionaryAlgorithms for Dynamic Optimization Problems,>• IWLCS 2005, The Eighth International Workshop onLearning Classifier Systems,>• MedGEC 2005, the First Workshop on MedicalApplications of Genetic and Evolutionary Computation,>• MSAEC 2005, the Second Workshop on Military andSecurity Applications of Evolutionary Computation,>• OBUPM 2005, the FourthWorkshop on Optimization byBuilding and Using Probabilistic Models,>• PSGEA 2005, the First Workshop on Parameter settingin Genetic and Evolutionary Algorithms,>• SEEDS 2005, the First Workshop on Scalable,Evolvable, Emergent Design and Developmental Systems,>• SOEA 2005, the Second Workshop On Self-Organizationin Representations For Evolutionary Algorithms: Building complexityfrom simplicity, and>• TheoryRep 2005, the FirstWorkshop on Theory ofRepresentations.>In addition, attendees of the GECCO 2005 workshop sessions couldalso attend the "Ask the consultant" workshop organized by DaveDavis and the "Coevolution Discussion Forum" organized by AnthonyBucci, Edwin de Jong, and R. Paul Wiegand.>The GECCO 2005 workshop series also includes twostudent-oriented workshops:>• GWS 2005, the Graduate Student Workshop, and>• UGWS 2005, the Undergraduate Student Workshop onEvolutionary Computation.>Both workshops were an important link between students andresearchers and gave students the opportunity to presentinteresting and high-quality work.
机译：遗传和进化算法（GEA）是基于自然进化和遗传学原理的，受自然启发的高效计划和优化方法。由于它们的效率和简单的基本原理，这些方法在解决问题，优化和机器学习的背景下用于大量问题。本书精选了一些论文，以解决GEA的最新趋势和热点话题。

本书中的所有论文均已在2005年遗传与进化计算会议（GECCO）的研讨会上发表。讲习班的形式和风格各不相同。讲习班的共同特点是它们解决了GEA研究和应用中的当前趋势和热门话题。

举行了GECCO 2005讲习班，其中包括会议记录。于2005年6月25日至26日在美国华盛顿特区举行。 GECCO 2005研讨会系列由以下各个研讨会组成：

•BioGEC2005，第四届年度遗传和进化计算的生物应用研讨会，

•EvoDOP 2005，第一届动态进化算法研讨会优化问题，

•IWLCS 2005，第八届国际学习分类器系统研讨会，

•MedGEC 2005，第一届遗传和进化计算医学应用研讨会，

•MSAEC 2005，第二次进化计算的军事和安全应用研讨会，

•OBUPM 2005，通过构建和使用概率模型进行优化的第四次研讨会，

•PSGEA 2005，第一次遗传和进化算法中的参数设置研讨会，

•SEEDS 2005，第一次可扩展，可演化，紧急设计和开发系统研讨会，

•SOEA 2005，第二次自我研讨会-Organization代表进化算法：Bui从简单性和

•TheoryRep 2005（代表理论的第一工作坊）中获得复杂性。

此外，GECCO 2005研讨会的与会者也可以参加由DaveDavis和AnthonyBucci，Edwin de Jong和R. Paul Wiegand共同组织的“合作进化论坛”。

GECCO 2005研讨会系列还包括两个面向学生的研讨会：

•GWS 2005年，研究生研讨会，

•UGWS 2005，演化计算本科学生研讨会。

这两个研讨会都是学生与研究人员之间的重要纽带，使学生有机会提出有趣的话题。高质量的工作。

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