Search Results - evolutionary genetics

Genetic and Evolutionary Computing Proceedings of the Eleventh International Conference on Genetic and Evolutionary Computing, November 6-8, 2017, Kaohsiung, Taiwan /

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Genetic and Evolutionary Computing Proceedings of the Ninth International Conference on Genetic and Evolutionary Computing, August 26-28, 2015, Yangon, Myanmar - Volume II /

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Genetic and Evolutionary Computing Proceedings of the Tenth International Conference on Genetic and Evolutionary Computing, November 7-9, 2016 Fuzhou City, Fujian Province, China /

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Genetic and Evolutionary Computing Proceedings of the Ninth International Conference on Genetic and Evolutionary Computing, August 26-28, 2015, Yangon, Myanmar - Volume 1 /

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Genetic and Evolutionary Computing Proceedings of the Twelfth International Conference on Genetic and Evolutionary Computing, December 14-17, Changzhou, Jiangsu, China /

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Introduction to evolutionary algorithms / by Yu, Xinjie

Subjects: “…Evolutionary programming (Computer science) 60622…”
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Genetic Algorithm Essentials by Kramer, Oliver

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Evolutionary and Swarm Intelligence Algorithms

Table of Contents: “…Swarm and Evolutionary Computation -- Particle Swarm Optimization -- Artificial Bee Colony Algorithm Variants and Its Application to Colormap Quantization -- Spider Monkey Optimization Algorithm -- Genetic Algorithm and Its Advances in Embracing Memetics -- Constrained Multi-Objective Evolutionary Algorithm -- Genetic Programming for Classification and Feature Selection -- Genetic Programming for Job Shop Scheduling -- Evolutionary Fuzzy Systems: A Case Study for Intrusion Detection Systems.…”
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Evolutionary Algorithms and Neural Networks Theory and Applications / by Mirjalili, Seyedali

Table of Contents: “…Part I: Evolutionary algorithms -- Introduction to Evolutionary Single-objective Optimisation -- Particle Swarm Optimisation -- Ant Colony Optimization -- Genetic Algorithm -- Biogeography-Based Optimization -- Part II: Evolutionary Neural Networks -- Evolutionary Feedforward Neural Networks -- Evolutionary Multi-Layer Perceptron -- Evolutionary Radial Basis Function Networks -- Evolutionary Deep Neural Networks.…”
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Behavioral Program Synthesis with Genetic Programming by Krawiec, Krzysztof

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Numerical and Evolutionary Optimization - NEO 2017

Table of Contents: “…Deterministic Parameter Control in Differential Evolution with Combined Variants for Constrained Search Spaces -- A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems -- Evaluating Memetic Building Spatial Design Optimisation Using Hypervolume Indicator Gradient Ascent -- Fitting Multiple Ellipses with PEARL and a Multi-objective Genetic Algorithm -- Analyzing Evolutionary Art Audience Interaction by Means of a Kinect Based Non-Intrusive Method -- Applying Control Theory to Optimize the Inventory Holding Costs in Supply Chains -- On the Selection of Tuning Parameters in Predictive Controllers Based on NSGA-II -- IDA-PBC Controller Tuning Using Steepest Descent -- Self-Tuning for a SISO-Type Fuzzy Control Based on the Relay Feedback Approach -- Optimal Design Of Sliding Mode Control Combined with Positive Position Feedback -- Biot's Parameters Estimation In Ultrasound Propagation Through Cancellous Bone -- Optimal Sizing of Low-DropOut Voltage Regulators by NSGA-II and PVT Analysis -- Genetic Optimization of Fuzzy Systems for the Classification of Treated Water Quality -- Stabilization Based on Fuzzy System for Structures Affected by External Disturbances -- Comparison of Two Methods for I/Q Imbalance Compensation Applied in RF Power Amplifiers -- An Application of Data Envelopment Analysis to the Performance Assessment of Online Social Networks Usage in Mazatlan Hotel Organizations. .…”
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Artificial Intelligence and Evolutionary Computations in Engineering Systems Proceedings of ICAIECES 2015 /

Table of Contents: “…Real Time Rule Based Scheduling System for Integrated Delivery in a Semiconductor Manufacturing Using Evolutionary Algorithm Based Simulation Approach -- Chapter 91. …”
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Stepping Stones to Synthetic Biology by Carrà, Sergio

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Evrimsel tıbbın ilkeleri / by Gluckman, Peter

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Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

Table of Contents: “…Game Strategies Combined with Evolutionary Computation -- Designing Networks in Cooperation with ACO, by E. …”
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Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems

Table of Contents: “…Bewley -- PART III: Applications of optimization in engineering design automation -- Optimized Vehicle Dynamics Virtual Sensing using Metaheuristic Optimization and Unscented Kalman Filter, by Manuel Acosta and Stratis Kanarachos -- On Combinatorial Problem Representation based Ascent Assembly Design Optimization, by Michael Hellwig, Doris Entner, Thorsten Prante, Alexandru-Ciprian Zavoianu, Martin Schwarz, and Klara Fink -- Onthe Optimization of 2D Path Network Layouts in Engineering Designs via Evolutionary Computation Techniques, by Alexandru-Ciprian Ziivoianu, Susanne Saminger-Platz, Doris Entner, Thorsten Prante, Michael Hellwig, Martin Schwarz, and Klara Fink -- Taking Advantage of 3D Printing so as to Simultaneously Reduce Weight and Mechanical Bonding Stress, by Markus Schatz, Robert Schweikle, Christian Lausch, Michael Jentsch and Werner Konrad -- Interactive Optimization of Path Planning for a Robot Enabled by Virtual Commissioning, by Ruth Fleisch, Doris Entner, Thorsten Prante, Reinhard Pfefferkorn -- Box-Type Boom Design using Surrogate Modeling: Introducing an Industrial Optimization Benchmark, by Philipp Fleck, Doris Entner, Clemens Munzer, Michael Kommenda, Thorsten Prante, Martin Schwarz, Martin Hachl, and Michael Affenzeller -- Knowledge Objects Enable Mass-Individualization, by Joel Johansson and Fredrik Elgh -- Free-form Optimization of a Shell Structure with Curvature Constraint, by Masatoshi Shimoda and Kenichi Ikeya -- Application of game theory and evolutionary algorithm to the regional turboprop aircraft wing optimization, by Pierluigi Della Vecchia, Luca Stingo, Fabrizio Nicolosi, Agostino De Marco, Elia Daniele, and Egidio D' Amato -- Industrial Application of Genetic Algorithms to cost reduction of a Wind Turbine equipped with a Tuned Mass Damper, by Jordi Pons-Prats, Marti Coma, Jaume Betran, Xavier Roca and Gabriel Bugeda -- PART IV: Optimization under uncertainty -- Aerodynamic Shape Optimization by Considering Geometrical Imperfections Using Polynomial Chaos Expansion and Evolutionary Algorithms, by Athanasios G. …”
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NEO 2015 Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico /

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Natural Computing for Unsupervised Learning

Table of Contents: “…Introduction -- Part I - Basic Natural Computing Techniques for Unsupervised Learning -- Hard Clustering using Evolutionary Algorithms -- Soft Clustering using Evolutionary Algorithms -- Fuzzy / Rough Set Systems for Unsupervised Learning -- Unsupervised Feature Selection using Evolutionary Algorithms -- Unsupervised Feature Selection using Artificial Neural Networks -- Part II - Advanced Natural Computing Techniques for Unsupervised Learning -- Hybrid Genetic Algorithms for Feature Subset Selection in Model-Based Clustering -- Nature-Inspired Optimization Approaches for Unsupervised Feature Selection -- Co-Evolutionary Approaches for Unsupervised Learning -- Mining Evolving Patterns using Natural Computing Techniques -- Multi-objective Optimization for Unsupervised Learning -- Many-objective Optimization for Unsupervised Learning -- Part III - Applications -- Unsupervised Identification of DNA-binding Proteins using Natural Computing Techniques -- Parallel Solution-based Natural Clustering Techniques on Railway Engineering data -- Natural Computing Techniques for Community Detection on Online Social Networks -- Big Data Challenges and Scalability in Natural Computing for Unsupervised Learning -- Conclusion.…”
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Evolution of Artificial Neural Development In search of learning genes / by Khan, Gul Muhammad

Table of Contents: “…Making the Computer 'Brained' -- The Biology of Brain:An insight into the Human Brain -- Evolutionary Computation -- Artificial Neural Network (ANNs) -- Structure and Operation of Cartesian Genetic Programming Developmental Network (CGPDN) Model -- Wumpus World -- Checkers -- Concluding Remarks and Future Directions.…”
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Computational Intelligence in Wireless Sensor Networks Recent Advances and Future Challenges /

Table of Contents: “…Preface -- A Genetic Programming Approach to Cost-Sensitive Control in Resource Constrained Sensor Systems -- A Study on Performance of the Hill Climbing Heuristic Method for Router Placement in Mesh Networks -- An Automated Irrigation System Based on a Low- Cost Micro-controller for Tomato Production in South India -- Artificial-Neural-Network-based Real-Time Urban Road Traffic State Estimation Framework -- Attack Detection using Evolutionary Computation -- Computational Intelligence based Security in WSNs - Technologies and Design Challenges -- Efficient Anomaly Detection System for Video Surveillance Application in WVSN with Particle Swarm Optimization -- Planning Robust Sensor Relocation Trajectories for a Mobile Robot with Evolutionary Multi-Objective Optimization.…”
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