Search Results - (((((((ant OR wants) OR mantis) OR wind) OR cantor) OR anne) OR plane) OR hints) algorithms.

Introduction to graph theory by Voloshin, Vitaly I. (Vitaly Ivanovich), 1954-

Table of Contents: “…What Is Mathematical Induction; 7.2. Graph Theory Algorithms and Their Complexity; 7.3. Answers and Hints to Selected Exercises; 7.4. …”
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High performance programming for soft computing

Table of Contents: “…Chapter 9: A Compendium of Artificial Immune SystemsChapter 10: Applications of Artificial Immune Algorithms; Chapter 11: A Parallel Implementation ofthe NSGA-II; Chapter 12: High-performance Navigation System for Mobile Robots; Chapter 13: A Method Using a Combination of Ant Colony Optimization Variants with Ant Set Partitioning; Chapter 14: Variants of Ant Colony Optimization: A Metaheuristic for Solving the Traveling Salesman Problem; Chapter 15: Quantum Computing; Color Plate Section; Back Cover.…”
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Evolutionary Computing in Advanced Manufacturing. by Tiwari, Manoj

Table of Contents: “…Cover; Half Title page; Title page; Copyright page; Preface; List of Contributors; Chapter 1: Production Planning Using Genetic Algorithm; 1.1 Introduction; 1.2 Production Planning Models; 1.3 Genetic Algorithm; 1.4 Implementation of GA; 1.5 Summary; Further Reading; Chapter 2: Process Planning through Ant Colony Optimization; 2.1 Introduction; 2.2 Ant Colony Optimization (ACO); References; Chapter 3: Introducing a Hybrid Genetic Algorithm for Integration of Set Up and Process Planning; 3.1 Introduction; 3.2 Process Planning; 3.3 Machine Set-up Time; 3.4 Chromosome Representation.…”
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Steiner tree problems in computer communication networks by Du, Dingzhu

Table of Contents: “…Steiner ratio in the Euclidean plane. 1.3. Steiner ratios in other metric spaces. 1.4. …”
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Introduction to Mathematical Optimization : From Linear Programming to Metaheuristics. by Yang, Xin-She

Table of Contents: “…Tabu Search""; ""8.1 Tabu Search""; ""8.2 Travelling Salesman Problem""; ""8.3 Tabu Search for TSP""; ""9. Ant Colony Optimization""; ""9.1 Behaviour of Ants""; ""9.2 Ant Colony Optimization""; ""9.3 Double Bridge Problem""; ""9.4 Multi-Peak Functions""; ""10. …”
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Stochastic global optimization : techniques and applications in chemical engineering

Table of Contents: “…Differential evolution : method, developments and chemical engineering applications / Chen Shaoqiang, Gade Pandu Rangaiah and Mekapati Srinivas -- ch. 7. Ant colony optimization : details of algorithms suitable for process engineering / V.K. …”
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Delaunay mesh generation by Cheng, Siu-Wing

Table of Contents: “…Front Cover; Contents; Preface; Chapter 1: Introduction; Chapter 2: Two-dimensional Delaunay triangulations; Chapter 3: Algorithms for constructing Delaunay triangulations; Chapter 4: Three-dimensional Delaunay triangulations; Chapter 5: Algorithms for constructing Delaunay triangulations in; Chapter 6: Delaunay refinement in the plane; Chapter 7: Voronoi diagrams and weighted complexes; Chapter 8: Tetrahedral meshing of PLCs; Chapter 9: Weighted Delaunay refinement for PLCs with small angles; Chapter 10: Sliver exudation; Chapter 11: Refinement for sliver exudation.…”
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Understanding Artificial Intelligence. by Sabouret, Nicolas

Table of Contents: “…Small but Strong: Understanding How Ants Find Their Way -- Multi-Agent Systems -- The Algorithm and the Ant -- Just Like in the Ant Colony -- Calculating a Path With Ants -- The More the Merrier! …”
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Geometric Computation. by Chen, Falai

Table of Contents: “…Algebraic Plane Curves ; 3. Rational Plane Curves ; 4. Parametrization of Rational Plane Curves ; 5. …”
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Artificial neural systems : principle and practice by Lorrentz, Pierre

Table of Contents: “…INTRODUCTIONDENSITY BASED ALGORITHMS: CLUSTERING ALGORITHMS; NATURE-BASED ALGORITHMS; Evolutionary Algorithm and Programming ; Genetic Algorithm; GA Operators; APPLICATIONS OF GENETIC ALGORITHM; NETWORK METHOD: EDGES AND NODES; MULTI-LAYERED PERCEPTRON; REAL-TIME APPLICATIONS OF STATE-OF-THE-ART ANN SYSTEMS; DEFINITION OF ARTIFICIAL NEURAL NETWORKS (ANN); Intelligence; An Artificial Neural Network (ANN) system; PERFORMANCE MEASURES; Receiver's Operating Characteristics (ROC); Hypothesis Testing; Chi-squared (Goodness-of-fit) Test; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES…”
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Data clustering in C++ : an object-oriented approach by Gan, Guojun, 1979-

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A first course in combinatorial optimization by Lee, Jon, 1960-

Table of Contents: “…Flows and Cuts -- 6. Cutting Planes -- 7. Branch- & -Bound -- 8. Optimizing Submodular Functions.…”
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An introduction to computational engineering with Matlab by Yang, Xin-She

Table of Contents: “…9.2.2 Plane Stress and Plane Strain9.2.3 Implementation -- 10. …”
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Hierarchical Protection for Smart Grids. by Ma, Jing

Table of Contents: “…3.3 Local Area Protection for Centralized Renewable Energy3.3.1 Connection Form of a Wind Farm and its Protection Configuration; 3.3.2 Adaptive Distance Protection Scheme for Wind Farm Collector Lines; 3.3.3 Differential Protection Scheme for Wind Farm Outgoing Transmission Line; 3.4 Local Area Protection for Distributed Renewable Energy; 3.4.1 Adaptive Protection Approach for a Distribution Network Containing Distributed Generation; 3.4.2 Islanding Detection Method; 3.5 Summary; References; Chapter 4 Topology Analysis; 4.1 Introduction; 4.2 Topology Analysis for the Inner Substation.…”
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Navigation signal processing for GNSS software receivers by Pany, Thomas

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Artificial Intelligence in Semiconductor Industry - Materials to Applications. by Wee, Hui-Ming

Table of Contents: “…Cover -- Guest editorial -- Efficient VLSI architecture for FIR filter design using modified differential evolution ant colony optimization algorithm -- Optimized DA-reconfigurable FIR filters for software defined radio channelizer applications -- Grid -- connected operation and performance of hybrid DG having PV and PEMFC -- High speed data encryption technique with optimized memory based RSA algorithm for communications -- A 10-bit 200 MS/s pipelined ADCwith parallel sampling and switched op-amp sharing technique…”
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Machine learning : a Bayesian and optimization perspective by Theodoridis, Sergios, 1951-

Table of Contents: “…Probability and stochastic processes -- Learning in parametric modeling: basic concepts and directions -- Mean-square error linear estimation -- Stochastic gradient descent: the LMS algorithm -- The least-squares family -- Classification: a tour of the classics -- Parameter learning: a convex analytic path -- Sparsity-aware learning: concepts and theoretical foundations -- Sparcity-aware learning: algorithms and applications -- Learning in reproducing Kernel Hilbert spaces -- Bayesian learning: inference and the EM alogrithm -- Bayesian learning: approximate inference and nonparametric models -- Monte Carlo methods -- Probabilistic graphical models: Part I -- Probabilistic graphical models: Part II -- Particle filtering -- Neural networks and deep learning -- Dimensionality reduction -- Appendix A LInear algebra -- Appendix B Probability theory and statistics -- Appendix C Hints on constrained optimization.…”
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Recent advances in hybrid metaheuristics for dataclustering

Table of Contents: “…Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Series Preface -- Preface -- Chapter 1 Metaheuristic Algorithms in Fuzzy Clustering -- 1.1 Introduction -- 1.2 Fuzzy Clustering -- 1.2.1 Fuzzy c-means (FCM) clustering -- 1.3 Algorithm -- 1.3.1 Selection of Cluster Centers -- 1.4 Genetic Algorithm -- 1.5 Particle Swarm Optimization -- 1.6 Ant Colony Optimization -- 1.7 Artificial Bee Colony Algorithm -- 1.8 Local Search-Based Metaheuristic Clustering Algorithms -- 1.9 Population-Based Metaheuristic Clustering Algorithms -- 1.9.1 GA-Based Fuzzy Clustering…”
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Quantum Computation and Information. by Lomonaco, Samuel J.

Table of Contents: “…Finding Shor transversals for vintage ZQ Shor algorithms -- 15. Maximal Shor transversals -- 16. Identifying characters of cyclic groups with points on the unit circle S1 in the complex plane C -- 17. …”
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Solar energy engineering : processes and systems by Kalogirou, Soteris A.

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