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Conference on Machine Intelligence and bio-inspired computation - theory and applications VIII

作者： Garcia, Raymond C. Pino, Robinson E. ICF Int Fairfax VA 22031 USA

ISBN: (纸本)9781628410563

What is presented here is a sequence of evolving concepts for network intrusion detection. These concepts start with neuromorphic structures for XOR-based signature matching and conclude with computationally based network intrusion detection system with an autonomous structuring algorithm. There is evidence that neuromorphic computation for network intrusion detection is fractal in nature under certain conditions. Specifically, the neural structure can take fractal form when simple neural structuring is autonomous. A neural structure is fractal by definition when its fractal dimension exceeds the synaptic matrix dimension. The authors introduce the use of fractal dimension of the neuromorphic structure as a factor in the autonomous restructuring feedback loop.

关键词： Intrusion Detection Neuromorphic Security Fractal Autonomous Neural Structuring Cloud Computing

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Amplification of perspectives in the use of evolutionary computation

Amplification of perspectives in the use of evolutionary com...

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IEEE International Symposium on bio-Informatics and biomedical Engineering

作者： Falqueto, J Barreto, JM Borges, PSD Univ Fed Santa Catarina Technol Ctr Dept Comp Sci & Stat BR-88040900 Florianopolis SC Brazil

ISBN: (纸本)0769508626

Initially, different areas of research in compute,science based on models inspired by Nature will be approached. The area entitled evolutionary computation is discussed in a general view. After, the emphasis is put on the human tendency to copy and to find answers to new problems by adopting similar solutions of other equivalent issues already resolved by Nature. Finally, there is an attempt to demonstrate that in the case of evolutionary computation, even if success is achieved in many cases, most of what Nature has attained was either severely simplified or truncated in the simulation process. Also, in several cases a mol-e detailed and mor-e faithful copy could have yielded better results to already existing systems or to new ones.

关键词： Artificial intelligence Artificial neural networks computational modeling Computer aided instruction Computer applications Computer science evolutionary computation Humans Machine intelligence Statistics

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RETROVIRAL GENETIC ALGORITHMS Implementation with Tags and Validation Against Benchmark Functions

RETROVIRAL GENETIC ALGORITHMS <i>Implementation with Tags an...

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International Conference on evolutionary computation theory and applications (ECTA 2011) / International Conference on Fuzzy computation theory and applications (FCTA 2011)

作者： Spirov, Alexander V. Holloway, David M. Russian Acad Sci Sechenov Inst Evolutionary Physiol & Biochem Lab Evolutionary Modelling St Petersburg Russia SUNY Stony Brook Comp Sci Stony Brook NY 11794 USA SUNY Stony Brook CEWIT Stony Brook NY 11794 USA British Columbia Inst Technol Dept Math Burnaby BC Canada

ISBN: (纸本)9789898425836

Classical understandings of biological evolution inspired creation of the entire order of evolutionary computation (EC) heuristic optimization techniques. In turn, the development of EC has shown how living organisms use biomolecular implementations of these techniques to solve particular problems in survival and adaptation. An example of such a natural Genetic Algorithm (GA) is the way in which a higher organism's adaptive immune system selects antibodies and competes against its complement, the development of antigen variability by pathogenic organisms. In our approach, we use operators that implement the reproduction and diversification of genetic material in a manner inspired by retroviral reproduction and a genetic-engineering technique known as DNA shuffling. We call this approach Retroviral Genetic Algorithms, or retroGA (Spirov and Holloway, 2010). Here, we extend retroGA to include: (1) the utilization of tags in strings;(2) the capability of the Reproduction-Crossover operator to read these tags and interpret them as instructions;and (3), as a consequence, to use more than one reproductive strategy. We validated the efficacy of the extended retroGA technique with benchmark tests on concatenated trap functions and compared these with Royal Road and Royal Staircase functions.

关键词： Genetic algorithms Recombination Building blocks Natural computing Retroviral recombination

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Intelligent Water Drops for Aerospace and Defense applications

Intelligent Water Drops for Aerospace and Defense Applicatio...

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Conference on Machine Intelligence and bio-inspired computation - theory and applications VIII

作者： Straub, Jeremy Univ N Dakota Dept Comp Sci Grand Forks ND 58202 USA

ISBN: (纸本)9781628410563

A modified version of the intelligent water drop algorithm for performing planning for air and ground robots based on telemetry provided by satellites has been created. The IWD algorithm works by simulating the flow of water drops in a stream-network, dynamically adapting drop and network characteristics. This paper presents the base IWD algorithm, a simplified version of the algorithm (SIWD) and a derivative of this simplified version that has been adapted and applied to planning air and ground robot paths based upon orbital (for aerial) and aerial (for ground) imagery. An analysis of the performance of the algorithm is presented.

关键词： Intelligent water drop path planning swarm intelligence UAV planning aircraft planning ground robot planning performance analysis

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Optimizing soft robot design and tracking with and without evolutionary computation: an intensive survey

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ROBOTICA 2024年第8期42卷 2848-2884页

作者： Stroppa, Fabio Majeed, Fatimah Jabbar Batiya, Jana Baran, Eray Sarac, Mine Kadir Has Univ Istanbul Turkiye Istanbul Bilgi Univ Istanbul Turkiye

Soft robotic devices are designed for applications such as exploration, manipulation, search and rescue, medical surgery, rehabilitation, and assistance. Due to their complex kinematics, various and often hard-to-define degrees of freedom, and nonlinear properties of their material, designing and operating these devices can be quite challenging. Using tools such as optimization methods can improve the efficiency of these devices and help roboticists manufacture the robots they need. In this work, we present an extensive and systematic literature search on the optimization methods used for the mechanical design of soft robots, particularly focusing on literature exploiting evolutionary computation (EC). We completed the search in the IEEE, ACM, Springer, SAGE, Elsevier, MDPI, Scholar, and Scopus databases between 2009 and 2024 using the keywords "soft robot," "design," and "optimization." We categorized our findings in terms of the type of soft robot (i.e., bio-inspired, cable-driven, continuum, fluid-driven, gripper, manipulator, modular), its application (exploration, manipulation, surgery), the optimization metrics (topology, force, locomotion, kinematics, sensors, and energy), and the optimization method (categorized as EC or non-EC methods). After providing a road map of our findings in the state of the art, we offer our observations concerning the implementation of the optimization methods and their advantages. We then conclude our paper with suggestions for future research.

关键词： design modular robots biomimetic robots grasping navigation novel applications of robotics redundant manipulators serial manipulator design and kinematics topological modeling of robots

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bio-inspired Computing: Theories and applications 1

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丛书名： Communications in Computer and Information Science

1000年

作者： Linqiang Pan Lianghao Li Zhihua Cui Jianghui Cai

ISBN: (数字)9789811912566

ISBN: (纸本)9789811912559

This two-volume set (CCIS 1565 and CCIS 1566) constitutes selected and revised papers from the 16th International Conference on bio-inspired Computing: Theories and applications, BIC-TA 2021, held in Taiyuan, China, in December 2021.;The 67 papers presented were thoroughly reviewed and selected from 211 submissions. The papers are organized in the following topical sections: evolutionary computation and swarm intelligence; DNA and molecular computing; machine learning and computer vision.

关键词： Artificial Intelligence theory of computation Computer Systems Organization and Communication Networks Numerical Analysis

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A Novel Shifting Balance theory-based Approach to Optimization of an Energy-Constrained Modulation Scheme for Wireless Sensor Networks

A Novel Shifting Balance Theory-based Approach to Optimizati...

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IEEE Congress on evolutionary computation

作者： Yang, Erfu Barton, Nick H. Arslan, Tughrul Erdogan, Ahmet T. Univ Edinburgh Sch Engn & Elect Edinburgh EH9 3JL Midlothian Scotland Univ Edinburgh Sch Biol Sci Edinburgh EH9 3JL Midlothian Scotland

ISBN: (纸本)9781424418220

This paper presents a new approach to optimization of an energy-constrained modulation scheme for wireless sensor networks by taking advantage of a novel bio-inspired optimization algorithm. The algorithm is inspired by Wright's shifting balance theory (SBT) of evolution in population genetics. The total energy consumption of an energy-constrained modulation scheme is minimized by using the new SBT-based optimization algorithm. The results obtained by this new algorithm are compared with other popular optimization algorithms. Numerical experiments are performed to demonstrate that the SBT-based algorithm could be used as an efficient optimizer for solving the optimization problems arising from currently emerging energy-efficient wireless sensor networks.

关键词： Wireless sensor networks

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bio-inspired Clustering: basic features and future trends in the era of Big Data 2

Bio-inspired Clustering: basic features and future trends in...

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IEEE 2nd International Conference on Cybernetics (CYBCONF)

作者： Camacho, David Univ Autonoma Madrid Dept Comp Sci Appl Intelligence & Data Anal Grp E-28049 Madrid Spain

ISBN: (纸本)9781479983223

Clustering is perhaps one of the most popular approaches used in unsupervised machine learning. There's a huge number of different methods and algorithms that have been designed in the last decades related to this "blind pattern search", some of these approaches are based on bio-inspired methods such as evolutionary computation, Swarm Intelligence or Neural Networks among others. In the last years, and due to the fast growing of Big Data problems, some interesting advances and new approaches are currently being developed in this area, new algorithms like online clustering and streaming clustering are appearing. These new algorithms try to solve classical problems in Clustering and deal with the new features of these new kind of problems. This keynote lecture will provide some basics on both, Clustering methods and bio-inspired computation, and how they have been combined to improve the quality of these algorithms, to later show the main features that Big Data needs to obtain reliable clustering approaches. Finally, some practical examples and applications will be described to show how these new algorithms are evolving to be used in the near future in complex and dynamic environments.

关键词： Clustering algorithms bio-inspired algorithms Big Data methods and applications

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bio-inspired Computing: Theories and applications 1

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丛书名： Communications in Computer and Information Science

1000年

作者： Linqiang Pan Lianghao Li Jianqing Lin Dongming Zhao

ISBN: (数字)9789819915491

ISBN: (纸本)9789819915484

This book constitutes the refereed proceedings of the 17th International Conference on bio-inspired Computing: Theories and applications, BIC-TA 2022, held in Wuhan, China, during December 16–18, 2022.;The 56 full papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: evolutionary computation and swarm intelligence; machine learning and deep learning; intelligent control and simulation and molecular computing and nanotechnology.

关键词： Artificial Intelligence Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation theory of computation Mathematics of Computing

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MONITORING INTERPERSONAL RELATIONSHIPS THROUGH GAMES WITH SOCIAL DILEMMA

MONITORING INTERPERSONAL RELATIONSHIPS THROUGH GAMES WITH SO...

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International Conference on evolutionary computation theory and applications (ECTA 2011) / International Conference on Fuzzy computation theory and applications (FCTA 2011)

作者： Gorbunov, Roman Barakova, Emilia Ahn, Rene Rauterberg, Matthias Tech Univ Eindhoven Dept Ind Design POB 513 Eindhoven Netherlands

ISBN: (纸本)9789898425836

In this paper we introduce a method to monitor interpersonal relations through a game with a social dilemma. In the game players can interact with each other through negotiations and by exchanges of resources. To enable the monitoring of interpersonal relations this environment confronts players with specially selected instances of the game, where strategies based on different social factors (like helpfulness or fairness) will enforce different choices in the game. An evolutionary inspired optimization was used to find the games with the special social setting. The special selection of the games helps us to relate the observed actions directly to parameters that model strategies that the players are likely to adopt. Through an estimation of these parameters we are able to observe quantitative differences in the social preferences by different players. Moreover, we demonstrate that players play differently depending on whom they are interacting with. This strongly indicates that the observed playing styles can reveal certain aspects of the relations between players.

关键词： Evolution Game theory Social preferences Social dilemma Cooperation Fairness

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