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Building Image Feature Kinetics for Cement Hydration Using Gene Expression Programming With Similarity Weight Tournament Selection

Lin Wang, Bo Yang, Shoude Wang, Zhifeng Liang
2015 IEEE Transactions on Evolutionary Computation  
.: Using software simulators to enhance the learning of digital logic design for the information technology students.  ...  29.6.2012 10 Chuan-Tao Li, Jian-An Lou, Yong-Xue Zhou, Yang Li: Improving (1+lambda)- ES Using the Clonal Selection Theory of Immunity.  ...  .: Using Genetic Algorithm in the Evolutionary Design of Sequential Logic Circuits.  ... 
doi:10.1109/tevc.2014.2367111 fatcat:dsfdt3ngn5htfdg4ydmofrqznm

Predictive genomics: A cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data

Edwin Wang, Naif Zaman, Shauna Mcgee, Jean-Sébastien Milanese, Ali Masoudi-Nejad, Maureen O'Connor-McCourt
2015 Seminars in Cancer Biology  
Strategies of using this framework in conjunction with genome sequencing data in an attempt to predict personalized drug targets, drug resistance, and metastasis for a cancer patient, as well as cancer  ...  Accurate prediction of cancer clonal evolution and clinical phenotypes will have substantial impact on timely diagnosis, personalized management and prevention of cancer.  ...  The predictability of tumor clonal evolution means that we could foresee clonal evolutionary paths and then design cancer therapies to effectively conduct individualized cancer treatment.  ... 
doi:10.1016/j.semcancer.2014.04.002 pmid:24747696 fatcat:u35vrng5pvdzhkmyqyd6swmrvy

Quantum Optimization and Quantum Learning: A Survey

Yangyang Li, Mengzhuo Tian, Guangyuan Liu, Cheng Peng, Licheng Jiao
2020 IEEE Access  
INDEX TERMS Quantum optimization, quantum learning, quantum evolutionary algorithm (QEA), quantum particle swarm algorithm (QPSO), quantum immune clonal algorithm (QICA), quantum neural network (QNN),  ...  Naturally, the idea of combining quantum mechanism with intelligent algorithms will inject new vitality into artificial intelligence system.  ...  In order to optimize combinational logic circuits, [37] combines QEA with local particle swarm optimization, and a circuit design scheme with minimum number of gate circuits is obtained using multiobjective  ... 
doi:10.1109/access.2020.2970105 fatcat:y765erlnyzakvdj3nv273ccgei

Registry in a tube: multiplexed pools of retrievable parts for genetic design space exploration

Lauren B. A. Woodruff, Thomas E. Gorochowski, Nicholas Roehner, Tarjei S. Mikkelsen, Douglas Densmore, D. Benjamin Gordon, Robert Nicol, Christopher A. Voigt
2016 Nucleic Acids Research  
Please cite only the published version using the reference above. Full terms of use are available: ABSTRACT Genetic designs can consist of dozens of genes and hundreds of genetic parts.  ...  Next, all 10 30 possible genetic circuits based on 10 repressors (NOR/NOT gates) are encoded in pools where each repressor is fused to all permutations of input promoters.  ...  The pools are used to retrieve alternative designs as part of improving a combinational logic circuit.  ... 
doi:10.1093/nar/gkw1226 pmid:28007941 pmcid:PMC5388403 fatcat:nhxtpguw45hbrjvsl6nltjhtni

Registry in a tube: multiplexed pools of retrievable parts for genetic design space exploration

Lauren B.A. Woodruff, Thomas E. Gorochowski, Nicholas Roehner, Tarjei S. Mikkelsen, Douglas Densmore, D. Benjamin Gordon, Robert Nicol, Christopher A. Voigt
2017 Nucleic Acids Research  
Please cite only the published version using the reference above. Full terms of use are available: ABSTRACT Genetic designs can consist of dozens of genes and hundreds of genetic parts.  ...  Next, all 10 30 possible genetic circuits based on 10 repressors (NOR/NOT gates) are encoded in pools where each repressor is fused to all permutations of input promoters.  ...  The pools are used to retrieve alternative designs as part of improving a combinational logic circuit.  ... 
doi:10.1093/nar/gkx032 pmid:28100691 pmcid:PMC5388430 fatcat:we7xh4rgkzhgxawacfkif6nqxi

Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs

Cristian Rotaru, Octav Brudaru
2012 2012 IEEE Congress on Evolutionary Computation  
The extensive experimental evaluation uses difficult classical benchmarks and proves the efficiency and the stability of the algorithm.  ...  A similarity based communication protocol between clusters of individuals from parallel grids is defined. The exchange of genetic material proves to considerably boost the quality of the solution.  ...  280, Simone Ludwig, Clonal Selection based Genetic Algorithm for Workflow Service Selection Tuesday, IEEE CEC, TuC 2-3, 11:00-12:00, Multi-objective evolutionary algorithms 3, Markus Wagner 91, David  ... 
doi:10.1109/cec.2012.6256590 dblp:conf/cec/RotaruB12 fatcat:4ly3nrktw5habc6lf5err7d5py

Application of Immune-Based Optimization Method for Fault-Section Estimation in a Distribution System

S. J. Huang
2002 IEEE Power Engineering Review  
In this paper, an immune algorithm-based (IA-based) optimization approach for the fault-section estimation of a distribution system is proposed.  ...  An affinity calculation has been employed in this computation process to measure the combination intensity.  ...  With an appropriate design of network topologies and improvement of training algorithms, neural networks have been also employed in the fault-section estimation problem [13] .  ... 
doi:10.1109/mper.2002.4312150 fatcat:6g5b4lzz7ja4pg5qhrf4ghovia

Application of immune-based optimization method for fault-section estimation in a distribution system

Shyh-Jier Huang
2002 IEEE Transactions on Power Delivery  
In this paper, an immune algorithm-based (IA-based) optimization approach for the fault-section estimation of a distribution system is proposed.  ...  An affinity calculation has been employed in this computation process to measure the combination intensity.  ...  With an appropriate design of network topologies and improvement of training algorithms, neural networks have been also employed in the fault-section estimation problem [13] .  ... 
doi:10.1109/tpwrd.2002.1022803 fatcat:fz37r7o54vbmnkwdtqfeicqufu

Combinatorial drug therapy for cancer in the post-genomic era

Bissan Al-Lazikani, Udai Banerji, Paul Workman
2012 Nature Biotechnology  
One solution to the enduring challenge of polygenic cancer drug resistance is rational combinatorial targeted therapy.  ...  Such addictions, synthetic lethalities and other tumor vulnerabilities have yielded novel targets for a new generation of cancer drugs to treat discrete, genetically defined patient subgroups.  ...  P.W. and U.B. acknowledge Experimental Cancer Centre (ECMC) Funding to the Drug Development Unit from Cancer Research UK, National Institute of Health Research (NIHR) and the Department of Health.  ... 
doi:10.1038/nbt.2284 pmid:22781697 fatcat:eyvaoufkgne5zbejhhdymgkc2y

Recent Advances in Artificial Immune Systems: Models and Applications

Dipankar Dasgupta, Senhua Yu, Fernando Nino
2011 Applied Soft Computing  
This survey has revealed that recent research is centered on four major AIS algorithms: (1) negative selection algorithms; (2) artificial immune networks; (3) clonal selection algorithms; (4) Danger Theory  ...  Though an extensive amount of AIS applications has been developed, the success of these applications is still limited by the lack of any exemplars that really stand out as killer AIS applications.  ...  Shapiro et al. then used an evolutionary algorithm (EA) to optimize the set of ellipsoids.  ... 
doi:10.1016/j.asoc.2010.08.024 fatcat:utgvstpp75e27h3whu7kn2voae

A Multi-Layered Immune System for Graph Planarization Problem

Shangce GAO, Rong-Long WANG, Hiroki TAMURA, Zheng TANG
2009 IEICE transactions on information and systems  
Simulation results based on several benchmark instances show that the proposed algorithm performs better than traditional algorithms.  ...  After expressing the problem as a suitable representation in the first layer, the search space and the features of the problem are estimated and extracted in the second and third layers, respectively.  ...  [18] proposed the clonal selection algorithm.  ... 
doi:10.1587/transinf.e92.d.2498 fatcat:q2nrkmk3i5bspcmvewhto4ysxy

An Algorithm Incarnating Deep Integration of Hardware-Software Energy Regulation Principles for Heterogeneous Green Scheduling

Shaohui Li, Hong Liu, Bin Gong, Jinglian Wang
2020 IEEE Access  
In this paper, an efficient new meta-heuristics algorithm is presented (i.e., GHSA_di), including the co-evolutionary dynamics equation emphasizing on and taking advantage of the hardware energy-regulation  ...  Heterogeneous green scheduling in virtual cloud is an urgent need of human sustainable developments.  ...  improves the efficiency of the algorithm.  ... 
doi:10.1109/access.2020.3003304 fatcat:ufbheyfuzfgxnkeqkhv2dbsc3m

Feed-forward regulation adaptively evolves via dynamics rather than topology when there is intrinsic noise

Kun Xiong, Alex K. Lancaster, Mark L. Siegal, Joanna Masel
2019 Nature Communications  
The diamond uses expression dynamics rather than path length to provide fast and slow pathways.  ...  We also capture stochasticity and delays in gene expression that distort external signals and intrinsically generate noise.  ...  Acknowledgements Work was supported by the University of Arizona and by a Pew Scholarship to J.M., John Templeton Foundation grant 39667 to J.M., and by National Institutes of Health grants R35GM118170  ... 
doi:10.1038/s41467-019-10388-6 pmid:31160574 pmcid:PMC6546794 fatcat:keokds6l5rhrtbmy2ribh7x2ei

Programming stress-induced altruistic death in engineered bacteria

Yu Tanouchi, Anand Pai, Nicolas E Buchler, Lingchong You
2012 Molecular Systems Biology  
Using a mathematical model, we predicted the existence of an optimal programmed death rate that maximizes population growth under stress.  ...  Our findings fill a critical conceptual gap in the analysis of the evolution of bacterial programmed death, and have implications for a design of antibiotic treatment.  ...  Acknowledgements We thank S West for insightful comments on an early version of the manuscript, M Ostermeier for strain SN0301 and plasmid pTS1, and R Weiss for plasmid pSND-1.  ... 
doi:10.1038/msb.2012.57 pmid:23169002 pmcid:PMC3531911 fatcat:erdwgol7kbe7rcx2csj6r3zzmm

Bioinspired Computing: Swarm Intelligence [chapter]

Mariette Awad, Rahul Khanna
2015 Efficient Learning Machines  
Additionally, stability is expressed as a combined function of multiple fields with changing dynamics.  ...  In the natural world the brain exhibits the properties of a highly efficient informatics tool that gathers data (sensor function), infers and stores useful patterns in the data (knowledge base, memory)  ...  An evolvable circuit can be synthesized, using a simulation tool (such as SPICE), a physical device (such as an FPGA), or a configurable logic.  ... 
doi:10.1007/978-1-4302-5990-9_6 fatcat:rqtiukwmu5epzcvjwp6czhmgx4
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