2014 IEEE International Conference on Evolvable Systems最新文献

Temperature management for heterogeneous multi-core FPGAs using adaptive evolutionary multi-objective approaches 基于自适应进化多目标方法的异构多核fpga温度管理

2014 IEEE International Conference on Evolvable Systems Pub Date : 2014-12-31 DOI: 10.1109/ICES.2014.7008728

Renzhi Chen, Peter R. Lewis, X. Yao

{"title":"Temperature management for heterogeneous multi-core FPGAs using adaptive evolutionary multi-objective approaches","authors":"Renzhi Chen, Peter R. Lewis, X. Yao","doi":"10.1109/ICES.2014.7008728","DOIUrl":"https://doi.org/10.1109/ICES.2014.7008728","url":null,"abstract":"Heterogeneous multi-core FPGAs contain different types of cores, which can improve efficiency when used with an effective online task scheduler. However, it is not easy to find the right cores for tasks when there are multiple objectives or dozens of cores. Inappropriate scheduling may cause hot spots which decrease the reliability of the chip. Given that, our research builds a simulating platform to evaluate all kinds of scheduling algorithms on a variety of architectures. On this platform, we provide an online scheduler which uses multi-objective evolutionary algorithm (EA). Comparing the EA and current algorithms such as Predictive Dynamic Thermal Management (PDTM) and Adaptive Temperature Threshold Dynamic Thermal Management (ATDTM), we find some drawbacks in previous work. First, current algorithms are overly dependent on manually set constant parameters. Second, those algorithms neglect optimization for heterogeneous architectures. Third, they use single-objective methods, or use linear weighting method to convert a multi-objective optimization into a single-objective optimization. Unlike other algorithms, the EA is adaptive and does not require resetting parameters when workloads switch from one to another. EAs also improve performance when used on heterogeneous architecture. A efficient Pareto front can be obtained with EAs for the purpose of multiple objectives.","PeriodicalId":432958,"journal":{"name":"2014 IEEE International Conference on Evolvable Systems","volume":"75 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122239065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

On using Gene Expression Programming to evolve multiple output robot controllers 基于基因表达式编程的多输出机器人控制器进化研究

2014 IEEE International Conference on Evolvable Systems Pub Date : 2014-12-01 DOI: 10.1109/ICES.2014.7008737

J. Mwaura, E. Keedwell

引用次数: 3

Filling the reality gap: Using obstacles to promote robust gaits in evolutionary robotics 填补现实差距:利用障碍促进进化机器人的稳健步态

2014 IEEE International Conference on Evolvable Systems Pub Date : 2014-12-01 DOI: 10.1109/ICES.2014.7008738

K. Glette, Andreas Leret Johnsen, Eivind Samuelsen

引用次数: 9

Evolutionary strategy approach for improved in-flight control learning in a simulated Insect-Scale Flapping-Wing Micro Air Vehicle 改进昆虫级扑翼微型飞行器飞行控制学习的进化策略方法

2014 IEEE International Conference on Evolvable Systems Pub Date : 2014-12-01 DOI: 10.1109/ICES.2014.7008742

Monica Sam, S. Boddhu, K. E. Duncan, J. Gallagher

{"title":"Evolutionary strategy approach for improved in-flight control learning in a simulated Insect-Scale Flapping-Wing Micro Air Vehicle","authors":"Monica Sam, S. Boddhu, K. E. Duncan, J. Gallagher","doi":"10.1109/ICES.2014.7008742","DOIUrl":"https://doi.org/10.1109/ICES.2014.7008742","url":null,"abstract":"Insect-Scale Flapping-Wing Micro-Air Vehicles (FW-MAVs), can be particularly sensitive to control deficits caused by ongoing wing damage and degradation. Since any such degradation could occur during flight and likely in ways difficult to predict apriori, any automated methods to apply correction would also need to be applied in-flight. Previous work has demonstrated effective recovery of correct flight behavior via online (in service) evolutionary algorithm based learning of new wing-level oscillation patterns. In those works, Evolutionary Algorithms (EAs) were used to continuously adapt wing motion patterns to restore the force generation expected by the flight controller. Due to the requirements for online learning and fast recovery of correct flight behavior, the choice of EA is critical. The work described in this paper replaces previously used oscillator learning algorithms with an Evolution Strategy (ES), an EA variant never previously tested for this application. This paper will demonstrate that this approach is both more effective and faster than previously employed methods. The paper will conclude with a discussion of future applications of the technique within this problem domain.","PeriodicalId":432958,"journal":{"name":"2014 IEEE International Conference on Evolvable Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125980361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Practical issues for configuring carbon nanotube composite materials for computation 碳纳米管复合材料配置计算的实际问题

2014 IEEE International Conference on Evolvable Systems Pub Date : 2014-12-01 DOI: 10.1109/ICES.2014.7008723

K. Clegg, J. Miller, M. K. Massey, M. Petty

{"title":"Practical issues for configuring carbon nanotube composite materials for computation","authors":"K. Clegg, J. Miller, M. K. Massey, M. Petty","doi":"10.1109/ICES.2014.7008723","DOIUrl":"https://doi.org/10.1109/ICES.2014.7008723","url":null,"abstract":"We report our experiences of attempting to configure a single-walled carbon nanotube (SWCNT) / polymer composite material deposited on a micro-electrode array to carry out two classification tasks based on data sets from University of California, Irvine (UCI)[1]. The tasks are attempted using hybrid “in materio” computation: a technique that uses machine search to configure materials for computation. The SWCNT / polymer composite materials are configured using static voltages so that voltage output readings from the material predict which class the data samples belong to. Our initial results suggest that the configured SWCNT materials are able to achieve good levels of predictive accuracy. However, we are in no doubt that the time and effort required to configure the samples could be improved. The parameter space when dealing with physical systems is large, often unknown and slow to test, making progress in this field difficult. Our purpose is not demonstrate the accuracy of configured samples to perform a certain classification, but to showcase the potential of configuring very small material samples with analogue voltages to solve stand alone computation tasks. Such SWCNT devices would be cheap to manufacture and require only low precision assembly, yet if correctly configured would be able to function as multipurpose, single task computational devices.","PeriodicalId":432958,"journal":{"name":"2014 IEEE International Conference on Evolvable Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133958523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Evolving a lookup table based controller for robotic navigation 改进一种基于查找表的机器人导航控制器

2014 IEEE International Conference on Evolvable Systems Pub Date : 2014-12-01 DOI: 10.1109/ICES.2014.7008740

M. Beckerleg, Justin Matulich

引用次数: 2

Segmental transmission line: Its practical application the optimized PCB trace design using a genetic algorithm 分段传输线:其实际应用是利用遗传算法优化PCB走线设计

2014 IEEE International Conference on Evolvable Systems Pub Date : 2014-12-01 DOI: 10.1109/ICES.2014.7008718

M. Yasunaga, H. Shimada, K. Seki, I. Yoshihara

引用次数: 2

Circuit design optimisation using a modified genetic algorithm and device layout motifs 电路设计优化使用改进的遗传算法和器件布局主题

2014 IEEE International Conference on Evolvable Systems Pub Date : 2014-12-01 DOI: 10.1109/ICES.2014.7008715

Yang Xiao, James Alfred Walker, S. Bale, M. Trefzer, A. Tyrrell

{"title":"Circuit design optimisation using a modified genetic algorithm and device layout motifs","authors":"Yang Xiao, James Alfred Walker, S. Bale, M. Trefzer, A. Tyrrell","doi":"10.1109/ICES.2014.7008715","DOIUrl":"https://doi.org/10.1109/ICES.2014.7008715","url":null,"abstract":"Circuit performance optimisation such as increasing speed and minimizing power consumption is the most important design goal for circuit designers next to correct functionality. This is generally also a very complex problem where, in order to solve it, several factors such as device characteristics, circuit topology, and circuit functionality must be considered. Particularly, as technology has scaled to the atomistic level, the resulting uncertainty factors further affect circuit performance. In this paper, we propose combining a modified genetic algorithm with dynamic gene mutation and device layout motif selection for circuit performance improvement. We explore novel device layout motifs (O shape device) to exploit effects of device layout at the atomistic level in order to improve characteristics of circuits and combine them with a modified GA for automatic circuit optimisation. Additionally, in order to overcome local optima and premature convergence, a dynamic gene mutation rate is performed within the GA. The experimental results show that this methodology can achieve more than 30% delay reduction through mixed combinations of O shape devices and regular devices in a circuit, compared to circuits built of only regular devices. At the same time, the local optima are also reliably avoided due to the dynamic gene mutation.","PeriodicalId":432958,"journal":{"name":"2014 IEEE International Conference on Evolvable Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123274518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Adaptive self-assembly in swarm robotics through environmental bias 基于环境偏差的群体机器人自适应装配

2014 IEEE International Conference on Evolvable Systems Pub Date : 2014-12-01 DOI: 10.1109/ICES.2014.7008739

Jean-Marc Montanier, P. Haddow

引用次数: 1

Evolutionary growth of genomes for the development and replication of multicellular organisms with indirect encoding 间接编码的多细胞生物的发育和复制的基因组的进化增长

2014 IEEE International Conference on Evolvable Systems Pub Date : 2014-12-01 DOI: 10.1109/ICES.2014.7008733

S. Nichele, G. Tufte

{"title":"Evolutionary growth of genomes for the development and replication of multicellular organisms with indirect encoding","authors":"S. Nichele, G. Tufte","doi":"10.1109/ICES.2014.7008733","DOIUrl":"https://doi.org/10.1109/ICES.2014.7008733","url":null,"abstract":"The genomes of biological organisms are not fixed in size. They evolved and diverged into different species acquiring new genes and thus having different lengths. In a way, biological genomes are the result of a self-assembly process where more complex phenotypes could benefit by having larger genomes in order to survive and adapt. In the artificial domain, evolutionary and developmental systems often have static size genomes, e.g. chosen beforehand by the system designer by trial and error or estimated a priori with complicated heuristics. As such, the maximum evolvable complexity is predetermined, in contrast to open-ended evolution in nature. In this paper, we argue that artificial genomes may also grow in size during evolution to produce high-dimensional solutions incrementally. We propose an evolutionary growth of genome representations for artificial cellular organisms with indirect encodings. Genomes start with a single gene and acquire new genes when necessary, thus increasing the degrees of freedom and expanding the available search-space. Cellular Automata (CA) are used as test bed for two different problems: replication and morphogenesis. The chosen CA encodings are a standard developmental table and an instruction based approach. Results show that the proposed evolutionary growth of genomes' method is able to produce compact and effective genomes, without the need of specifying the full set of regulatory configurations.","PeriodicalId":432958,"journal":{"name":"2014 IEEE International Conference on Evolvable Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127388631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13