Conferences related to Organisms

Back to Top

2014 IEEE Congress on Evolutionary Computation (CEC)

IEEE Congress on Evolutionary Computation is the largest technical event in the field of evolutionary computation. In 2014, International Joint Conference on Neural Networks will be part of the 2104 IEEE World Congress on Computational Intelligence.

  • 2013 IEEE Congress on Evolutionary Computation (CEC)

    CEC 2013 will bring together researchers and practitioners in the field of evolutionary computation and computational intelligence from around the globe. Theory, applications, algorithmic developments and all other aspects of evolutionary computation and related areas (i.e., any other bio-inspired metaheuristics) are welcome to contribute to this conference.

  • 2012 IEEE Congress on Evolutionary Computation (CEC)

    The annual IEEE CEC is one of the leading events in the field of evolutionary computation.

  • 2011 IEEE Congress on Evolutionary Computation (CEC)

    Annual Congress on Evolutionary Computation.

  • 2010 IEEE Congress on Evolutionary Computation (CEC)

  • 2009 IEEE Congress on Evolutionary Computation (CEC)

    CEC 2009 will feature a world-class conference that aims to bring together researchers and practitioners in the field of evolutionary computation and computational intelligence from all around the globe. Technical exchanges within the research community will encompass keynote speeches, special sessions, tutorials, panel discussions as well as poster presentations.


2013 ICME International Conference on Complex Medical Engineering (CME)

The objective of CME 2013 is to provide a forum for researchers, educators,engineers, and government officials involved in the general areas of biomedical engineering to disseminate their latest research results and exchange views on the future research directions of these fields.

  • 2012 ICME International Conference on Complex Medical Engineering (CME)

    The objective of CME 2012 is to provide a forum for researchers, educators,engineers, and government officials involved in the general areas of biomedical engineering to disseminate their latest research results and exchange views on the future research directions of these fields.

  • 2012 ICME International Conference on Complex Medical Engineering (CME)

    The aim of the conference is to bring together researchers, engineers and practitioners from diverse fields to stimulate future research and development of new theory, approaches, and tools in the field of Complex Medical Engineering.

  • 2011 ICME International Conference on Complex Medical Engineering - CME 2011

    The objective of CME 2011 is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of biomedical engineering to disseminate their latest research results and exchange views on the future research directions of these fields.

  • 2010 ICME International Conference on Complex Medical Engineering - CME 2010

    TBD

  • 2009 ICME International Conference on Complex Medical Engineering - CME 2009

    The aim of CME 2009 is to bring together researchers and practitioners from diverse fields to promote scientific research and industrial development in the field of complex medical engineering. The conference will consist of workshops, special sessions, tutorials and keynote presentations from renowned experts.

  • 2007 IEEE/ICME International Conference on Complex Medical Engineering - CME 2007


2013 IEEE Symposium on Artificial Life (ALife)

IEEE ALIFE 2013 brings together researchers working on the emerging areas of Artificial Life and Complex Adaptive Systems, aiming to understand and synthesize life-like systems and applying bio-inspired synthetic methods to other science/engineering disciplines, including Biology, Robotics, Social Sciences, among others.Artificial Life is the study of the simulation and synthesis of living systems. In particular, this science of generalized living and life-like systems provides engineering with billions of years of design expertise to learn from and exploit through the example of the evolution of organic life on earth. Increased understanding of the massively successful design diversity, complexity, and adaptability of life is rapidly making inroads into all areas of engineering and the Sciences of the Artificial. Numerous applications of ideas from nature and their generalizations from life-as-we-know-it to life-as-it-could-be continually find their way into engineering and science.


2012 8th International Conference on Natural Computation (ICNC)

ICNC is an international forum on intelligent systems inspired from nature, particularly neural, biological, and nonlinear systems, with applications to signal processing, communications, biomedical engineering and more.

  • 2011 Seventh International Conference on Natural Computation (ICNC)

    ICNC is an international forum on intelligent systems inspired from nature, particularly neural, biological, and nonlinear systems, with applications to signal processing, communications, biomedical engineering, and more.

  • 2010 Sixth International Conference on Natural Computation (ICNC)

    ICNC is an international forum on intelligent systems inspired from nature, particularly neural, biological, and nonlinear systems, with applications to signal processing, communications, biomedical engineering, and more.


2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)

The annual IEEE International Conference on Bioinformatics and Bioengineering covers complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design, and so on.

  • 2011 IEEE 11th International Conference on Bioinformatics & Bioengineering (BIBE)

    The annual IEEE International Conference on Bioinformatics and Bioengineering aims at building synergy between Bioinformatics and Bioengineering, two complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design.

  • 2010 International Conference on BioInformatics and BioEngineering (BIBE)

  • 2009 9th IEEE International Conference on BioInformatics and BioEngineering - BIBE

    The annual IEEE International Conference on Bioinformatics and Bioengineering aims at building synergy between Bioinformatics and Bioengineering, two complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design. Research and development in these two areas are impacting the science and technology in fields such as medicine, food production, forensics, etc.

  • 2008 8th IEEE International Conference on BioInformatics and BioEngineering - BIBE

    The annual IEEE International Conference on Bioinformatics and Bioengineering aims at building synergy between Bioinformatics and Bioengineering, two complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design.

  • 2007 7th IEEE International Conference on BioInformatics and BioEngineering - BIBE

    Bioinformatics and Bioengineering are complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design, and so on. Research and development in these two areas are impacting the science and technology of fields such as medicine, food production, forensics, etc. by advancing fundamental concepts in molecular biology and in medicine ,by helping us understand living organisms.


More Conferences

Periodicals related to Organisms

Back to Top

Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Evolutionary Computation, IEEE Transactions on

Papers on application, design, and theory of evolutionary computation, with emphasis given to engineering systems and scientific applications. Evolutionary optimization, machine learning, intelligent systems design, image processing and machine vision, pattern recognition, evolutionary neurocomputing, evolutionary fuzzy systems, applications in biomedicine and biochemistry, robotics and control, mathematical modelling, civil, chemical, aeronautical, and industrial engineering applications.


Plasma Science, IEEE Transactions on

Plasma science and engineering, including: magnetofluid dynamics and thermionics; plasma dynamics; gaseous electronics and arc technology; controlled thermonuclear fusion; electron, ion, and plasma sources; space plasmas; high-current relativistic electron beams; laser-plasma interactions; diagnostics; plasma chemistry and colloidal and solid-state plasmas.




Xplore Articles related to Organisms

Back to Top

Cultivation and Characterization of Microorganisms in Antarctic Lakes

Hongyan Zhang; Shoko Hosoi-Tanabe; Shinichi Nagata; Syuhei Ban; Satoshi Imura OCEANS 2008 - MTS/IEEE Kobe Techno-Ocean, 2008

Microorganisms were isolated from Antarctica lakes and identified based on 16S rDNA sequence analysis. The lake samples were collected from Antarctic lakes in Skavrvsnes near Syowa Station area. When cultivation of lake water was performed at 4degC and 20degC in several selection media, most of microorganisms could not grow at 20degC, but they could efficiently grow at 4degC, indicating that ...


Elementary flux mode analysis of central carbon metabolism of Geobactersulfurreducens PCA for electricity production

Ashok Selvaraj; Nupoor Chowdhary; ChinnasamyPerumal Rajadurai; Naresh Ravi; Gopal Ramesh Kumar 2013 International Conference on Recent Trends in Information Technology (ICRTIT), 2013

Geobactersulfurreducens PCA, a delta-proteobacterium has the ability to transfer electrons directly onto the surface of electrodes, which play a crucial role in bioremediation and electricity production. Improving succinate production improves electron transfer and in turn it improves electricity generation in this organism. A pathway reconstruction was carried out for the central carbon metabolism. Elementary flux mode analysis of the reconstructed ...


Computational Identification of Protein-Coding Sequences by Comparative Analysis

Arnaud Fontaine; Helene Touzet 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), 2007

Gene prediction is an essential step in understanding the genome of a species once it has been sequenced. For that, a promising direction in current research on gene finding is a comparative genomics approach. In this paper, we present a novel approach to identifying evolutionarily conserved protein- coding sequences in genomes. The method takes advantage of the specific substitution pattern ...


An Integrating Text Retrieval Framework for Digital Ecosystems Paradigm

Dengya Zhu; Heinz Dreher 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, 2007

The purpose of the research is to provide effective information retrieval services for digital 'organisms' in a digital ecosystem by leveraging the power of Web searching technology. A novel integrating digital ecosystem search framework (a new digital organism) is proposed which employs the Web search technology and traditional database searching techniques to provide economic organisms with comprehensive, dynamic, and organization-oriented ...


Sterilization of Oil-Field Re-injection Water by Chlorine Dioxide

Wu Mingsong; Zhang Yuling; Huang Junli; Tian Yu 2009 International Conference on Energy and Environment Technology, 2009

Corrosion and plugging caused by sulfate reducting bacteria, total growth bacteria and iron bacteria in the reinjection water is very severe. The sterilization efficiencies of chlorine dioxide on the three kinds of bacteria above were studied in varies conditions. The results prove that ClO2 is suitable to apply in the oil rejection water sterilizing. When the dosage was 3.0 mg/L, ...


More Xplore Articles

Educational Resources on Organisms

Back to Top

eLearning

Cultivation and Characterization of Microorganisms in Antarctic Lakes

Hongyan Zhang; Shoko Hosoi-Tanabe; Shinichi Nagata; Syuhei Ban; Satoshi Imura OCEANS 2008 - MTS/IEEE Kobe Techno-Ocean, 2008

Microorganisms were isolated from Antarctica lakes and identified based on 16S rDNA sequence analysis. The lake samples were collected from Antarctic lakes in Skavrvsnes near Syowa Station area. When cultivation of lake water was performed at 4degC and 20degC in several selection media, most of microorganisms could not grow at 20degC, but they could efficiently grow at 4degC, indicating that ...


Elementary flux mode analysis of central carbon metabolism of Geobactersulfurreducens PCA for electricity production

Ashok Selvaraj; Nupoor Chowdhary; ChinnasamyPerumal Rajadurai; Naresh Ravi; Gopal Ramesh Kumar 2013 International Conference on Recent Trends in Information Technology (ICRTIT), 2013

Geobactersulfurreducens PCA, a delta-proteobacterium has the ability to transfer electrons directly onto the surface of electrodes, which play a crucial role in bioremediation and electricity production. Improving succinate production improves electron transfer and in turn it improves electricity generation in this organism. A pathway reconstruction was carried out for the central carbon metabolism. Elementary flux mode analysis of the reconstructed ...


Computational Identification of Protein-Coding Sequences by Comparative Analysis

Arnaud Fontaine; Helene Touzet 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), 2007

Gene prediction is an essential step in understanding the genome of a species once it has been sequenced. For that, a promising direction in current research on gene finding is a comparative genomics approach. In this paper, we present a novel approach to identifying evolutionarily conserved protein- coding sequences in genomes. The method takes advantage of the specific substitution pattern ...


An Integrating Text Retrieval Framework for Digital Ecosystems Paradigm

Dengya Zhu; Heinz Dreher 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, 2007

The purpose of the research is to provide effective information retrieval services for digital 'organisms' in a digital ecosystem by leveraging the power of Web searching technology. A novel integrating digital ecosystem search framework (a new digital organism) is proposed which employs the Web search technology and traditional database searching techniques to provide economic organisms with comprehensive, dynamic, and organization-oriented ...


Sterilization of Oil-Field Re-injection Water by Chlorine Dioxide

Wu Mingsong; Zhang Yuling; Huang Junli; Tian Yu 2009 International Conference on Energy and Environment Technology, 2009

Corrosion and plugging caused by sulfate reducting bacteria, total growth bacteria and iron bacteria in the reinjection water is very severe. The sterilization efficiencies of chlorine dioxide on the three kinds of bacteria above were studied in varies conditions. The results prove that ClO2 is suitable to apply in the oil rejection water sterilizing. When the dosage was 3.0 mg/L, ...


More eLearning Resources

IEEE-USA E-Books

  • Schemata

    Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. Adaptation in Natural and Artificial Systems is the book that initiated this field of study, presenting the theoretical foundations and exploring applications.In its most familiar form, adaptation is a biological process, whereby organisms evolve by rearranging genetic material to survive in environments confronting them. In this now classic work, Holland presents a mathematical model that allows for the nonlinearity of such complex interactions. He demonstrates the model's universality by applying it to economics, physiological psychology, game theory, and artificial intelligence and then outlines the way in which this approach modifies the traditional views of mathematical genetics.Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways. Along the way he accounts for major effects of coadaptation and coevolution: the emergence of building blocks, or schemata, that are recombined and passed on to succeeding generations to provide, innovations and improvements.John H. Holland is Professor of Psychology and Professor of Electrical Engineering and Computer Science at the University of Michigan. He is also Maxwell Professor at the Santa Fe Institute and is Director of the University of Michigan/Santa Fe Institute Advanced Research Program.

  • An Evolving and Developing Cellular Electronic Circuit

    A novel multi-cellular electronic circuit capable of evolution and development is described here. The circuit is composed of identical cells whose shape and location in the system is arbitrary. Cells all contain the complete genetic description of the final system, as in living organisms. Through a mechanism of development, cells connect to each other using a fully distributed hardware routing mechanism and differentiate by expressing a corresponding part of the genetic code thereby taking a specific functionality and connectivity in the system. The configuration of the system is found by using artificial evolution and intrinsic evolution at the schematic level is possible. Applications include the approximation of boolean functions and the evolution of a controller capable of navigating a Khepera robot while avoiding obstacles. The circuit is suited for a custom chip called POEtic, which is a generic platform to implement bio-inspired applications.

  • Ontogeny of Preferences in Guppies (Poecilia reticulata) Exposed to Food and Conspecifics

    A statistical method for quantifying, summarizing, and evaluating information about the behaviour of a living system is illustrated using data from a study of the ontogenetic development of preferences in guppies (Poecilia reticulata). This method permits comparisons of groups of individuals in different treatments when the data on each individual consists of a long sequence of behavioural states together with the entry time into those states. This tool is readily adaptable to the study of a simulation of an organism, set of organisms, or the comparison of robotic models with living systems.

  • Representations for Artificial Organisms

    we are interested in simulations of biological evolution, i.e. simulations of populations of organisms over many generations living in a complex and dynamic environment. Our simulations are microanalytic, meaning that each individual organism and gene is separately represented, and the biologically significant events in an organism's life are all separately simulated in detail. Although we have been successful with simple models, we have encountered fundamental difficulties when scaling up the complexity of the organisms and the complexity of behaviors we expect of them. These difficulties all lead to a single question: What is an appropriate representation for an organism, i.e. what is an appropriate programming paradigm in which to express the complex behavior of organisms, and how should such programs be encoded into strings so that genetic algorithms will be successful over them? The project that brought these issues to the surface is a complex evolutionary simulation called AntFarm, in which we are attempting to evolve cooperative foraging behavior in a population of colonies of artificial "ants." In this paper we survey a number of candidate representat. ions for organisms, that we have considered for AntFarm, all of which have been used in the past for simple evolution models. We show that none of the representations are well-suited for AntFarm. From their inadequacies we abstract a number of principles that we believe are necessary tor successful evolution of complex artificial life. Finding a representation that has all of the propert.ies we identify is still an open problem.

  • Appendix: Phase Plots

    In this book, Whitman Richards offers a novel and provocative proposal for understanding decision making and human behavior. Building on Valentino Braitenberg's famous "vehicles," Richards describes a collection of mental organisms that he calls "daemons" -- virtual correlates of neural modules. Daemons have favored choices and make decisions that control behaviors of the group to which they belong, with each daemon preferring a different outcome. Richards arranges these preferences in graphs, linking similar choices, which thus reinforce each other. "Anigrafs" refers to these two components -- animals, or the mental organisms (agents or daemons), and the graphs that show similarity relations. Together these two components are the basis of a new cognitive architecture. In Richards's account, a collection of daemons compete for control of the cognitive system in which they reside; the challenge is to get the daemons to agree on one of many choices. Richards explores the res lts of group decisions, emphasizing the Condorcet voting procedure for aggregating preferences. A neural mechanism is proposed. _Anigrafs_ presents a series of group decisions that incorporate simple and complex movements, as well as aspects of cognition and belief. _ Anigrafs_ concludes with a section on "metagrafs," which chart relationships between different anigraf models.

  • Evolving organisms that can reach for objects

    An evolutionary method based on selective reproduction and random mutation was used to evolve neural networks that control two types of simple organisms which can reach for objects using their 2-segment arm. One kind of organism does not move and can only capture an object if it is at reaching distance; the other can displace itself and therefore it first approaches an object and then captures it. Individual learning during lifetime to predict changes in the position of an object or of the hand relative to the organism's body helps in the evolution of the object reaching capacity, although inheritance of the weight matrix is strictly Darwinian. Finally. a more sofisticated fitness criterion which penalizes arm movements causes the more complex organism to move its arm only when an object is at reaching distance.

  • Species Abundance Adapted to the Energy Flow in Ecosystem Simulation

    The numerical models featuring energy flow between soil, plant and herbivore are examined. The goal of this work is to observe the relationship between body size and species abundance of the herbivore, resulting from adaptive behavior of population. The species in the simulations are defined by the parameter of energy flux between organisms and replication strategies. Our result shows that the individual behavior builds up the distribution of species abundance resembling that of real ecosystem under the various conditions. This means that the amount of available resources affects not only the number of organisms, but also the adaptive behavior of the population in a local ecosystem. The observed adaptation in the present simulation study therefore indicates that there are more sustainable strategies than one under a given condition. The modelling technique presented here can also be applied to more detailed ecosystem simulations.

  • Tierra's missing neutrality: case solved.

    The concept of neutral evolutionary networks being a significant factor in evolutionary dynamics was first proposed by Huynen et al. about 7 years ago. In one sense, the principle is easy to state -- because most mutations to an organism are deleterious, one would expect that neutral mutations that don't affect the phenotype will have disproportionately greater representation amongst successor organisms than one would expect if each mutation was equally likely. So it was with great surprise that I noted neutral mutations being very rare in a visualisation of phylogenetic trees generated in lien-a, since I already knew that there was a significant amount of neutrality in the Tierra genotype-phenotype map. It turns out that competition for resources between host and parasite inhibits neutral evolution.

  • Kin-Selection: The Rise and Fall of Kin-Cheaters

    We demonstrate the existence of altruism via kin selection in artificial life and explore its nuances. We do so in the Avida system through a setup that is based on the behavior of colicinogenic bacteria: Organisms can kill unrelated organisms in a given radius but must kill themselves to do so. Initially, we confirm results found in the bacterial world: Digital organisms do sacrifice themselves for their kin--an extreme example of altruism--and do so more often in structured environments, where kin are always nearby, than in well-mixed environments, where the location of kin is stochastically determined. Having shown that helping one's kin is advantageous, we turn our attention to investigating the efficacy and implications of the strategies of kincheaters, those who receive help from kin but do not return it. Contrary to the expectations of current theory, we find that kin-cheaters outcompete kin- altruists. Our results cause us to question the stability of strategies that involve altruism between kin. Knowing that kin-altruism persists in biological systems, however, we search for, and find, conditions that allow kin-based altruism to persist in evolving systems despite the presence of kin-cheaters.

  • Glossary

    In this book, Whitman Richards offers a novel and provocative proposal for understanding decision making and human behavior. Building on Valentino Braitenberg's famous "vehicles," Richards describes a collection of mental organisms that he calls "daemons" -- virtual correlates of neural modules. Daemons have favored choices and make decisions that control behaviors of the group to which they belong, with each daemon preferring a different outcome. Richards arranges these preferences in graphs, linking similar choices, which thus reinforce each other. "Anigrafs" refers to these two components -- animals, or the mental organisms (agents or daemons), and the graphs that show similarity relations. Together these two components are the basis of a new cognitive architecture. In Richards's account, a collection of daemons compete for control of the cognitive system in which they reside; the challenge is to get the daemons to agree on one of many choices. Richards explores the res lts of group decisions, emphasizing the Condorcet voting procedure for aggregating preferences. A neural mechanism is proposed. _Anigrafs_ presents a series of group decisions that incorporate simple and complex movements, as well as aspects of cognition and belief. _ Anigrafs_ concludes with a section on "metagrafs," which chart relationships between different anigraf models.



Standards related to Organisms

Back to Top

No standards are currently tagged "Organisms"


Jobs related to Organisms

Back to Top