Search Results - (((((((ant OR cantee) OR wanting) OR wanted) OR cantor) OR anne) OR start) OR partes) algorithms.

  1. 181

    Advances in Mechatronics and Control Engineering III : Selected, Peer Reviewed Papers from the 2014 3rd International Conference on Mechatronics and Control Engineering (ICMCE 2014...

    Published 2014
    Table of Contents: “…Research on Stereo Matching Algorithm in Intelligent Vehicle Application; Researching on the Single Lock Chamber Automatic Layout Algorithm; Rough and Fuzzy Set Based Classification Algorithm on Computer Practice Teaching Evaluation; Scheduling Based on an Ant Colony Algorithm with Crossover Operator; Study of Parameters Configuration in Ant Colony Algorithm; Study on the Soft Time Windows Vehicle Synthesis Algorithm Based on Genetic; A New Forecasting Model of Fuzzy Time Series; An Improved Forecasting Model of Fuzzy Time Series; Key Technology in a Lightweight WPF-Based Electronic Map Engine.…”
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    Electronic Conference Proceeding eBook
  2. 182

    Market liquidity : theory, evidence, and policy by Foucault, Thierry

    Published 2013
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  3. 183

    High performance programming for soft computing

    Published 2014
    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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  4. 184

    Evolutionary Computing in Advanced Manufacturing. by Tiwari, Manoj

    Published 2011
    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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  5. 185

    Introduction to Mathematical Optimization : From Linear Programming to Metaheuristics. by Yang, Xin-She

    Published 2007
    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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  6. 186

    Stochastic global optimization : techniques and applications in chemical engineering

    Published 2010
    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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  7. 187

    Pattern discovery in biomolecular data : tools, techniques, and applications

    Published 1999
    Table of Contents: “…Discovering patterns in DNA sequences by the algorithmic significance method / Aleksandar Milosavljevic -- Assembling blocks / Jorja G. …”
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  8. 188

    Artificial neural systems : principle and practice by Lorrentz, Pierre

    Published 2015
    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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  9. 189

    BigNum Math : Implementing Cryptographic Multiple Precision Arithmetic.

    Published 2006
    Table of Contents: “…Cover; Contents; List of Figures; Preface; Chapter 1 Introduction; Chapter 2 Getting Started; Chapter 3 Basic Operations; Chapter 4 Basic Arithmetic; Chapter 5 Multiplication and Squaring; Chapter 6 Modular Reduction; Chapter 7 Exponentiation; Chapter 8 Higher Level Algorithms; Chapter 9 Number Theoretic Algorithms; Bibliography; Index.…”
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  10. 190

    Generalized Network Design Problems : Modeling and Optimization. by Pop, Petrică C.

    Published 2012
    Table of Contents: “…3.2 An efficient transformation of the GTSP into the TSP3.3 An exact algorithm for the Generalized Traveling Salesman Problem; 3.4 Integer programming formulations of the GTSP; 3.4.1 Formulations based on the properties of Hamiltonian tours; 3.4.2 Flow based formulations; 3.4.3 A local-global formulation; 3.5 Solving the Generalized Traveling Salesman Problem; 3.5.1 Reinforcing ant colony system for solving the GTSP; 3.5.2 Computational results; 3.5.3 A hybrid heuristic approach for solving the GTSP; 3.5.4 Computational results; 3.6 The drilling problem; 3.6.1 Stigmergy and autonomous robots.…”
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  11. 191

    Modeling Reality : How Computers Mirror Life. by Białynicki-Birula, Iwo

    Published 2004
    Table of Contents: “…Contents; 1 From building blocks to computers: Models and modeling; 2 The game of life: A legendary cellular automaton; 3 Heads or tails: Probability of an event; 4 Galton's board: Probability and statistics; 5 Twenty questions: Probability and information; 6 Snowflakes: The evolution of dynamical systems; 7 The Lorenz butterfly: Deterministic chaos; 8 From Cantor to Mandelbrot: Self-similarity and fractals; 9 Typing monkeys: Statistical linguistics; 10 The bridges of Königsberg: Graph theory; 11 Prisoner's dilemma: Game theory; 12 Let the best man win: Genetic algorithms.…”
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  12. 192

    Java Data Mining - Strategy, Standard, and Practice : a Practical Guide for architecture, design, and implementation. by Hornick, Mark F.

    Published 2006
    Table of Contents: “…Mining Functions and Algorithms; Chapter 5. JDM Strategy; Chapter 6. Getting Started; Part II : Standards; Chapter 7. …”
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  13. 193

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

    Published 2021
    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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  14. 194

    Business Hack : the Wealth Dragon Way to Build a Successful Business in the Digital Age. by Lee, John

    Published 2018
    Table of Contents: “…Out with the Old, in with the NewThe AI Revolution; Think Laterally; Who Wants to Live Forever?; Who's the Expert Now?; Which Future?…”
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  15. 195

    Sentient Enterprise The Evolution of Business Decision-making.

    Published 2017
    Table of Contents: “…Analytics on Algorithms to Improve Decision MakingCombining Algorithms on the Home Stretch to Sentience; Agility as the Ultimate Litmus Test; Chapter 8 Implementing Your Course to Sentience; Ask the Right Questions, Warts and All; Agile Strategic Planning Is Not an Oxymoron; Adopt a Start-Up Mind-Set and Don't Boil the Ocean; Pick the Right Internal Partners to Demonstrate Value; Embrace Agile Project Management Strategies; Embrace Concurrency, Ensure Scalability; Design in Governance That's Seamless and Repeatable; Optimize a Workforce to Act Fast, Fail Fast, and Scale Fast.…”
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  16. 196

    Recent advances in hybrid metaheuristics for dataclustering

    Published 2020
    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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  17. 197

    Data Analytics Applied to the Mining Industry. by Soofastaei, Ali

    Published 2020
    Table of Contents: “…Advanced Data Analytics -- Introduction -- Big Data -- Analytics -- Deep Learning -- CNNs -- Deep Neural Network -- Recurrent Neural Network (RNN) -- ML -- Fuzzy Logic -- Classification Techniques -- Clustering -- Evolutionary Techniques -- Genetic Algorithms (GAs) -- Ant Colony Optimization (ACO)…”
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  18. 198

    ARTIFICIAL INTELLIGENCE FOUNDATIONS. by LOWE, ANDREW. LAWLESS, STEVE

    Published 2020
    Table of Contents: “…4.3 AGENTS' FUNCTIONALITY -- 4.4 USING THE CLOUD -- CHEAP HIGH-PERFORMANCE COMPUTING FOR AI -- 4.5 SUMMARY -- 5 ALGORITHMS -- 5.1 WHAT IS AN ALGORITHM? -- 5.2 WHAT IS SPECIAL ABOUT AI/ML ALGORITHMS? …”
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  19. 199
  20. 200

    Linear programming and network flows by Bazaraa, M. S.

    Published 2010
    Table of Contents: “…Linear algebra, convex analysis, and polyhedral sets -- The simplex method -- Starting solution and convergence -- Special simplex implementations and optimality conditions -- Duality and sensitivity analysis -- The decomposition principle -- Complexity of the simplex algorithm and polynomial-time algorithms -- Minimal-cost network flows -- The transportation and assignment problems -- The out-of-kilter algorithm -- Maximal flow, shortest path, multicommodity flow, and network synthesis problems.…”
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