• She is associate editor of the Evolutionary Computation Journal, and the IEEE Transactions on Evolutionary Computation, as well as a member of the SIGEvo executive board. (stir.ac.uk)
  • IEEE Transactions on Evolutionary Computation 2017 21(6): 863-877 DOI: 10.1109/TEVC.2017.2688863. (cinvestav.mx)
  • The idea behind interactive evolutionary algorithms is due to Richard Dawkins. (wikipedia.org)
  • CI encompasses a wide spectrum of techniques including neural networks, evolutionary algorithms, fuzzy systems, swarm intelligence, and more. (mdpi.com)
  • Her research interests lie in the foundations and application of evolutionary algorithms and heuristic search methods, with emphasis on autonomous search, hyper-heuristics, fitness landscape analysis and visualisation. (stir.ac.uk)
  • Lavinas Y, Aranha C & Ochoa G (2022) Search Trajectories Networks of Multiobjective Evolutionary Algorithms. (stir.ac.uk)
  • Most evolutionary optimization algorithms assume that the evaluation of the objective and constraint functions is straightforward. (jyu.fi)
  • The quest to evolve neural networks through evolutionary algorithms. (oreilly.com)
  • In other words, neuroevolution seeks to develop the means of evolving neural networks through evolutionary algorithms. (oreilly.com)
  • Investigating the parameter space of evolutionary algorithms. (nih.gov)
  • They cover a wide spectrum of topics, ranging from the foundations of evolutionary algorithms and other search heuristics to their accurate design and application to combinatorial optimization problems. (stanford.edu)
  • Comparison of Metamodeling Techniques in Evolutionary Algorithms. (cinvestav.mx)
  • Sequence-based Deterministic Initialization for Evolutionary Algorithms. (cinvestav.mx)
  • An alternative hypervolume-based selection mechanism for multi-objective evolutionary algorithms. (cinvestav.mx)
  • Q1: What are Evolutionary Algorithms (EAs)? (cmu.edu)
  • A variety of evolutionary algorithms have been proposed. (cmu.edu)
  • H. Chen, Y. Mori and I. Matsuba, "A Competitive Markov Approach to the Optimal Combat Strategies of On-Line Action Role-Playing Game Using Evolutionary Algorithms," Journal of Intelligent Learning Systems and Applications , Vol. 4 No. 3, 2012, pp. 176-187. (scirp.org)
  • H. Y. Chen, Y. Mori and I. Matsuba, "Design Method for Game Balance with Evolutionary Algorithms Using Stochastic Model," Proceedings of International Conference on Computer Science and Engineering, Shanghai, 28-31 October 2011, Vol. 7, pp. 1-4. (scirp.org)
  • Quality-Diversity algorithms, such as MAP-Elites, are a branch of Evolutionary Computation generating collections of diverse and high-performing solutions, that have been successfully applied to a variety of domains and particularly in evolutionary robotics. (imperial.ac.uk)
  • The algorithm's efficiency is tested on the IEEE Congress of Evolutionary Computation in 2020 (CEC'2020) benchmark functions and compared to seven widely used metaheuristic algorithms, including Genetic Algorithm (GA), particle swarm optimization (PSO), Differential Evolution (DE), Adaptive Guided Differential Evolution Algorithm (AGDE), Improved Multi-Operator Differential Evolution (IMODE), Harris Hawks Optimization (HHO), Runge-Kutta Optimization Algorithm (RUN), weIghted meaN oF vectOrs (INFO), and Coronavirus Herd Immunity Optimizer (CHIO). (bvsalud.org)
  • The Genetic and Evolutionary Computation Conference (GECCO) 2023, Lisbon, Portugal, 15.07.2023-19.07.2023. (stir.ac.uk)
  • In GECCO '19 : Proceedings of the Genetic and Evolutionary Computation Conference : Companion Volume (pp. 1765-1772). (jyu.fi)
  • Human-based computation (apart from the historical meaning of "computer") research has its origins in the early work on interactive evolutionary computation (EC). (wikipedia.org)
  • These and other similar research efforts became the topic of research in aesthetic selection or interactive evolutionary computation (Takagi, 2001), however the scope of this research was limited to outsourcing evaluation and, as a result, it was not fully exploring the full potential of the outsourcing. (wikipedia.org)
  • Under funding from the National Science Foundation, NSI has patented a novel pre-clinical approach called Serenity™ to personalize tinnitus "masks" using interactive evolutionary computation. (natural-selection.com)
  • Naoki Mori Evolutionary Approach for AutoAugment Using the Thermodynamical Genetic Algorithm Proceedings of the AAAI Conference on Artificial Intelligence, 35 (2021) 9851-9858. (aaai.org)
  • This book constitutes the refereed proceedings of the 21st European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2021, held as part of Evo*2021, as Virtual Event, in April 2021, co-located with the Evo*2021 events: EvoMUSART, EvoApplications, and EuroGP. (stanford.edu)
  • Proceedings of the 2002 Congress on Evolutionary Computation. (google.com.sg)
  • R. Leigh, J. Schonfeld and S. Louis, "Using Coevolution to Understand and Validate Game Balance in Continuous Games," Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation, Atlanta, 12-16 July 2008, pp. 1563-1570. (scirp.org)
  • H. Y. Chen, Y. Mori and I. Matsuba, "Evolutionary Approach to the Balance Problem of On-line Action RolePlaying Game," Proceedings of the 3rd International Conference on Computational Intelligence and Software Engineering, Wuhan, 9-11 November 2011, pp. 1039-1042. (scirp.org)
  • Y. Wen and H. Xu, "A Cooperative Coevolution-Based Pittsburgh Learning Classifier System Embedded with Memetic Feature Selection," Proceedings of IEEE Congress on Evolutionary Computation, New Orleans, 5-8 June 2011, pp. 2415-2422. (scirp.org)
  • artificial/computational intelligence (including evolutionary multi-objective optimization, model-based optimization, large-scale optimization, etc. (mdpi.com)
  • Cristian, I.T.: The particle swarm optimization algorithm: convergence analysis and parameter selection. (springer.com)
  • In this work, we propose the automatic selection of a surrogate modelling technique based on exploratory landscape features of the optimization problem that underlies the given dataset. (jyu.fi)
  • We propose a surrogate-assisted reference vector guided evolutionary algorithm (EA) for computationally expensive optimization problems with more than three objectives. (jyu.fi)
  • To solve the legibility problem with respect to the generalization of dispersed rural buildings, selection of buildings is necessary and can be transformed into an optimization problem. (mdpi.com)
  • The range of topics covered in this volume reflects the current state of research in the fields of evolutionary computation and combinatorial optimization. (stanford.edu)
  • Computational search and optimisation methodologies, evolutionary computation, machine learning and data science both in their foundations and applications to challenging real-world problems. (stir.ac.uk)
  • Research Field: Applied Cognitive Systems: Cognitive Robotics, Learning Classifier Systems (evolutionary computation) and Modern Heuristics. (wgtn.ac.nz)
  • Evolutionary Computation (2018) 26 (4): 597-620. (mit.edu)
  • We report the results of 15 years of surveillance of the first Chinese Rabies Surveillance Plan in animal populations, in which animal brain tissues collected during 2004-2018 were tested for RABV and phylogenetic and spatial-temporal evolutionary analyses performed using obtained RABV sequences. (cdc.gov)
  • The proposed approach is compared with the standard NN classifier, with and without the use of classic prototype selection methods, and classic data normalization. (ulaval.ca)
  • We demonstrate the accuracy of our approach and the extent to which evolutionary dynamics are recorded in the genome. (nature.com)
  • In the version of this article originally published, in the "Theoretical framework of subclonal selection" section of the main text, ref. 11 instead of ref. 19 should have been cited at the end of the phrase "Our previously presented frequentist approach to detect subclonal selection from bulk sequencing data involves an R 2 test statistic. (nature.com)
  • We propose a novel technique for algorithm-selection which adopts a deep-learning approach, specifically a Recurrent-Neural Network with Long-Short-Term-Memory (RNN-LSTM). (napier.ac.uk)
  • Through a collaboration with Southwestern College under funding from the U.S. Army, Natural Selection, Inc. helped develop a novel approach for high-throughput small molecule screening that makes use of computational intelligence methods to literally evolve drugs in silico and screen drugs against protein targets. (natural-selection.com)
  • It uses an evolutionary search approach that simulates the behavior of liver tumors when taking over the liver organ. (bvsalud.org)
  • 2010. A quantum-inspired evolutionary hybrid intelligent approach for stock market prediction. (lu.se)
  • Moreover, it is often assumed that these anytime preferences are known when developing or training the algorithm selection methodology. (hal.science)
  • In this work, we study the algorithm selection problem in a context where the decision maker's anytime preferences are defined by a general utility function, and only known at the time of selection. (hal.science)
  • Then, we discuss approaches for the development of selection methodologies that receive a utility function as an argument at the time of selection. (hal.science)
  • Understanding the conditions and dynamics that produce cooperation in evolving systems remains a fundamental goal of evolutionary theory. (mit.edu)
  • Significant progress has been made in determining the conditions that support cooperation in simple models, but the evolutionary dynamics that lead from noncooperative conditions to cooperation are still poorly understood. (mit.edu)
  • The results show that the inclusion of multilevel competition has both quantitative effects (increasing the frequency and duration of the periods of cooperation) and qualitative effects (introducing a new stable state) on the evolutionary dynamics of cooperation. (mit.edu)
  • However, the temporal evolutionary dynamics that produce tumor subclones remain unknown. (nature.com)
  • Here we measure clone dynamics in human cancers by using computational modeling of subclonal selection and theoretical population genetics applied to high-throughput sequencing data. (nature.com)
  • The introduced system comprises image preprocessing and enhancement, image segmentation, feature extraction and selection, and WBC classification. (bvsalud.org)
  • He joined the group as a Research Fellow in 2009 to lead the LR/MoD Centre of Excellence in Marine Structures before moving to LRET funding to explore the use of Multi-Level Selection mechanisms within Evolutionary Computation. (southampton.ac.uk)
  • Empirical assessment and comparison of neuro-evolutionary methods for the automatic off-line design of robot swarms. (ac.be)
  • Evolutionary algorithm is an umbrella term used to describe computer- based problem solving systems which use computational models of evolutionary processes as key elements in their design and implementation. (cmu.edu)
  • They all share a common conceptual base of simulating the EVOLUTION of INDIVIDUAL structures via processes of SELECTION, MUTATION, and REPRODUCTION. (cmu.edu)
  • 2013. Evolutionary Learning Processes to Design the Dilation-Erosion Perceptron for Weather Forecasting. (lu.se)
  • The G.IR.L.13@LUND conference will focus on the evolution of inference , in the sense of: (i) evolutionary processes driven by natural selection, and: (ii) intra-contextual evolution of interacting agents inferences. (lu.se)
  • Takfarinas Saber, David Brevet, Goetz Botterweck, Anthony Ventresque, Is seeding a good strategy in multi-objective feature selection when feature models evolve? (tcd.ie)
  • It was also successfully applied to tackle the feature selection problem and optimize the support vector machine for various biomedical data classifications, resulting in the creation of the LCA-SVM model. (bvsalud.org)
  • The experimental results indicate that the LCA algorithm surpasses other methods to solve mathematical benchmark problems and feature selection. (bvsalud.org)
  • In particular he is interested in Reinforcement Learning in Continuous Environments, Evolutionary Computation and Machine Learning in scenarios where we don't fully understand the underlying physics. (southampton.ac.uk)
  • Fundamental and methodological aspects deal with runtime analysis, the structural properties of fitness landscapes, the study of core components of metaheuristics, the clever design of their search principles, and their careful selection and configuration. (stanford.edu)
  • In collaboration with Isis Pharmaceuticals, Natural Selection, Inc. developed software to search for common RNA structures in human pathogens using an evolutionary algorithm. (natural-selection.com)
  • More precisely, EAs maintain a POPULATION of structures, that evolve according to rules of SELECTION and other operators, that are referred to as "search operators", (or GENETIC OPERATORs), such as RECOMBINATION and MUTATION. (cmu.edu)
  • Also, we propose an evolutionary framework, including integration with competitive coevolution and cooperative coevolution, to search the optimal SUS pair which is regarded as the Nash equilibrium point of the strategy space. (scirp.org)
  • In this study, we solved these problems by introducing evolutionary computation to previous methods. (aaai.org)
  • Through an extensive series of experiments over multiple evolutionary algorithm implementations and 25 problems we show that parameter space tends to be rife with viable parameters, at least for the problems studied herein. (nih.gov)
  • Towards the full model selection in temporal databases by using micro-differential evolution. (google.com.hk)
  • The trouble is, many people would just as soon that research into evolutionary computation anatomy and physiology, and bioinformatics, however fruitful, not be done if it undermines a comfortable Darwinism. (uncommondescent.com)
  • Fig. 2: Accurate recovery of evolutionary parameters from simulated data using approximate Bayesian computation. (nature.com)
  • Therefore, we adopted the thermodynamical genetic algorithm (TDGA), which can control the population diversity with a specific genetic operator, known as the thermodynamical selection rule. (aaai.org)
  • In this paper, an improved genetic algorithm for building selection is designed to be able to incorporate cartographic constraints related to the building selection problem. (mdpi.com)
  • The authors of the best accepted papers will be published in Immunomics Research Journal and Evolutionary Computation (TBC). (wikicfp.com)
  • Our quantitative framework provides new insight into the evolutionary trajectories of human cancers and facilitates predictive measurements in individual tumors from widely available sequencing data. (nature.com)
  • Fig. 1: Modeling patterns of subclonal selection in sequencing data. (nature.com)
  • Evolutionary computation (EC) has been widely applied to biological and biomedical data. (nih.gov)
  • 2009. Application of a least absolute shrinkage and selection operator to aeroelastic flight test data. (lu.se)
  • Human-based computation methods combine computers and humans in different roles. (wikipedia.org)
  • Kosorukoff (2000) proposed a way to describe division of labor in computation, that groups human-based methods into three classes. (wikipedia.org)
  • This paper presents experiments of Nearest Neighbor (NN) classifier design using different evolutionary computation methods. (ulaval.ca)
  • Characterizing the impact of selection on the evolution of cooperation in complex networks. (uni-trier.de)
  • The practice of EC involves the tuning of many parameters, such as population size, generation count, selection size, and crossover and mutation rates. (nih.gov)
  • In: Applications of Evolutionary Computation. (stir.ac.uk)
  • The preliminary experiments reported here suggest that the proposed automatic selector is able to identify high-accuracy surrogate models as long as an appropriate classifier is used for selection. (jyu.fi)
  • We are accepting submissions to two distinct streams of research: Computational Immunology & Immunoinformatics, and Immunological Computation & Immune-inspired Engineering. (wikicfp.com)
  • Fig. 4: Quantifying selection in large cohorts of primary tumors and metastatic lesions. (nature.com)
  • To satisfy other local constraints, a preparation phase is necessary before building selection, which includes building enlargement, local displacement, conflict detection, and attribute enrichment. (mdpi.com)
  • Human-based computation (HBC), human-assisted computation, ubiquitous human computing or distributed thinking (by analogy to distributed computing) is a computer science technique in which a machine performs its function by outsourcing certain steps to humans, usually as microwork. (wikipedia.org)
  • Under SBIR funding by the National Science Foundation, Natural Selection, Inc. developed evolved classifiers to predict the locations of microRNA genes in genomic DNA. (natural-selection.com)
  • Through a collaboration with BioInfoExperts and UC San Francisco under funding from the National Institutes of Health, Natural Selection, Inc. helped co-develop classifiers to predict viral tropism as well as classifiers for late-stage pathogenic effects of HIV infection including risk of dementia and lymphoma. (natural-selection.com)
  • We show that both evolutionary techniques yield corrosion-rate expressions that have good accuracy. (hindawi.com)
  • Then, to illustrate one of the discussed approaches, we present a preliminary study on the selection between an exact and a heuristic algorithm for a bi-objective knapsack problem. (hal.science)