Search Results - (((((((ant OR anti) OR semantic) OR walter) OR cantor) OR anne) OR wind) OR when) algorithms.

Ant Colony Optimization and Constraint Programming. by Solnon, Christine

Table of Contents: “…Constraint programming; 1.1.2. Ant colony optimization; 1.1.3. Constraint programming with ant colony optimization; Chapter 2. …”
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Theory of randomized search heuristics : foundations and recent developments

Table of Contents: “…Theory of Particle Swarm Optimization Carsten Witt; 8. Ant Colony Optimization: Recent Developments in Theoretical Analysis Walter J. …”
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Essential algorithms : a practical approach to computer algorithms by Stephens, Rod, 1961-

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Essential algorithms : a practical approach to computer algorithms using Python and C# by Stephens, Rod, 1961-

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Algorithmic composition : a guide to composing music with Nyquist by Simoni, Mary Hope

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Offshore wind energy technology by Anaya-Lara, Olimpo, Tande, John O., 1962-, Uhlen, Kjetil, 1961-, Merz, Karl, 1978-

Table of Contents: “…4 Fixed and Floating Offshore Wind Turbine Support Structures4.1 Introduction; 4.2 Bottom-fixed Support Structures; 4.3 Floating Support Structures; 4.4 Design Considerations; 4.5 Conceptual Design; 4.6 Loads in the Marine Environment; 4.7 Global Dynamic Analysis of Offshore Wind Turbines; 4.8 Conclusions; 4.9 References; 5 Offshore Wind Turbine Controls; 5.1 Control Objectives, Sensors and Actuators; 5.2 Control Algorithms; 5.3 A Linear Aeroelastic Loads Model for Closed-loop System Dynamics; 5.4 Basic Rotor Speed Control in Operating Regions I and II; 5.5 Active Damping and Load Reduction.…”
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Nature-inspired optimization algorithms by Yang, Xin-She

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Automatic sequences by Haeseler, Friedrich von

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Swarm intelligence and bio-inspired computation : theory and applications

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Ant colony optimization by Dorigo, Marco

Table of Contents: “…Preface; Acknowledgments; 1 -- From Real to Artificial Ants; 2 -- The Ant Colony Optimization Metaheuristic; 3 -- Ant Colony Optimization Algorithms for the Traveling Salesman Problem; 4 -- Ant Colony Optimization Theory; 5 -- Ant Colony Optimization for NP-Hard Problems; 6 -- AntNet: An ACO Algorithm for Data Network Routing; 7 -- Conclusions and Prospects for the Future; Appendix: Sources of Information about the ACO Field; References; Index.…”
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Black box classical groups by Kantor, W. M. (William M.), 1944-

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Pathway modeling and algorithm research

Table of Contents: “…PATHWAY MODELING AND ALGORITHM RESEARCH; PATHWAY MODELING AND ALGORITHM RESEARCH; Contents; Preface; Biological Pathways and Their Modeling; Abstract; 1. …”
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Concurrency by Malkhi, Dahlia

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Algorithms and architectures of artificial intelligence by Tõugu, Enn, 1935-

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Swarm Intelligence Algorithms : Modifications and Applications. by Slowik, Adam

Table of Contents: “…-- 1.2.3 Pseudo-code of standard ACO algorithm -- 1.3 Modified variants of ant colony optimization -- 1.3.1 Elitist ant systems -- 1.3.2 Ant colony system -- 1.3.3 Max-min ant system -- 1.3.4 Rank based ant systems -- 1.3.5 Continuous orthogonal ant systems…”
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Obstetric clinical algorithms : management and evidence

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Responsible Data Science : transparency and fairness in algorithms by Fleming, Grant

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Beginning Java data structures and algorithms : sharpen your problem solving skills by learning core computer science concepts in a pain-free manner by Cutajar, James

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Semantic matchmaking with nonmonotonic description logics by Grimm, Stephan

Table of Contents: “…Nonmonotonic Reasoning in the Semantic WebNonmonotonic Description Logics; Autoepistemic Description Logics; Formal Semantics for Autoepistemic DLs; Reasoning with Epistemic Operators; Circumscriptive Description Logics; Formal Semantics for Circumscriptive DLs; Reasoning with Circumscribed Knowledge Bases; Terminological Defaults; Discussion; A Reasoning Algorithm for Circumscriptive Description Logics; Principle Idea of a Tableaux Extension; Extending DL Tableaux Calculi by Preference Clashes; Restrictions on the Formalism; Deciding Circumscriptive ALCO…”
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Machine Learning Algorithms and Applications. by Srinivas, Mettu

Table of Contents: “…2.4 Dataset Generation -- 2.5 Results -- 2.6 Conclusion -- Acknowledgment -- References -- 3 A Wind Speed Prediction System Using Deep Neural Networks -- 3.1 Introduction -- 3.2 Methodology -- 3.3 Results and Discussions -- 3.4 Conclusion -- References -- 4 Res-SE-Net: Boosting Performance of ResNets by Enhancing Bridge Connections -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Preliminaries -- 4.4 Proposed Model -- 4.5 Experiments -- 4.6 Results -- 4.7 Conclusion -- References -- 5 Sakshi Aggarwal, Navjot Singh and K.K. …”
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