Search Results - "heuristic algorithm"

Heuristic search : theory and applications by Edelkamp, Stefan

Subjects: “…Heuristic algorithms.…”
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Theory of randomized search heuristics : foundations and recent developments

Subjects: “…Heuristic algorithms.…”
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Metaheuristic optimization for the design of automatic control laws by Sandou, Guillaume

Subjects: “…Heuristic algorithms.…”
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Simple adaptive strategies : from regret-matching to uncoupled dynamics by Hart, Sergiu

Subjects: “…Heuristic algorithms.…”
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Heuristics in analytics : a practical perspective of what influences our analytical world by Reis Pinheiro, Carlos Andre, 1940-, McNeill, Fiona

Subjects: “…Heuristic algorithms.…”
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A Beginner's Guide to Multilevel Image Thresholding. by Rajinikanth, Venkatesan

Table of Contents: “…Limitations in Traditional Thresholding -- 4.3. Need for Heuristic Algorithm -- 4.4. Selection of Heuristic Algorithm -- 4.4.1. …”
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Network and discrete location : models, algorithms, and applications by Daskin, Mark S., 1952-

Table of Contents: “…4.5.2 Lagrangian Relaxation: An Optimization-Based Heuristic Algorithm for Solving the Maximum Covering Location Model4.5.3 Other Solution Approaches and Example Results; 4.6 An Interesting Model Property or It Ain't Necessarily So; 4.7 The Maximum Expected Covering Location Model; 4.8 Summary; Exercises; 5. …”
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Graph Algorithms and Applications 1. by Tamassia, Roberto

Table of Contents: “…Volume 1:1-3 (1997) ; 2-Layer Straightline Crossing Minimization: Performance of Exact and Heuristic Algorithms ; 1 Introduction ; 2 Branch and Cut for One Sided Crossing Minimization ; 3 One Sided Crossing Minimization ; 4 Two Sided Crossing Minimization ; 5 Conclusions.…”
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Cooperative Internet Computing : Proceedings of the 4th International Conference (CIC 2006). by Chan, Alvin T. S.

Table of Contents: “…Problem formulation; 2.4. Heuristic algorithm for DPMDSTP; 3. Evaluation; 3.1. Load balancing performance; 3.2. …”
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Convergence of Communications, Navigation, Sensing and Services. by Ligthart, L. P.

Table of Contents: “…5.5.1 Formulation of the Problem for Finding a GeneralizedP-median Set as a Linear Programming5.5.2 ADD/DROP Heuristics Algorithm; 5.6 Example of Application of ADD/DROP Heuristics for Solving the Cascade Problem of Hierarchically Connected Sets; 5.7 Conclusion; References; Biographies; 6 Machine-to-Machine Communications for CONASENSE; 6.1 Introduction; 6.2 Wireless Infrastructure; 6.2.1 Ubiquitous Connections via 3GPP Heterogeneous Network (HetNet) Architecture; 6.2.2 D2D Empowered Group Based Operations of MTC Devices; 6.2.3 Cognitive Operations of MTC Devices.…”
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Regularization theory for ill-posed problems : selected topics by Lu, Shuai, Pereverzev, Sergei V.

Table of Contents: “…; 3.2 Multiparameter discrepancy principle; 3.2.1 Model function based on the multiparameter discrepancy principle; 3.2.2 A use of the model function to approximate one set of parameters satisfying the discrepancy principle; 3.2.3 Properties of the model function approximation; 3.2.4 Discrepancy curve and the convergence analysis; 3.2.5 Heuristic algorithm for the model function approximation of the multiparameter discrepancy principle.…”
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Intelligent pervasive computing systems for smarter healthcare

Table of Contents: “…Chapter 8 Secure Pervasive Healthcare System and Diabetes Prediction Using Heuristic Algorithm; P Pabitha and Rajalakshmi Shenbaga Moorthy Chapter 9 Threshold-Based Energy Efficient Routing Protocol for Critical Data Transmission to Increase Life Time in Heterogeneous Wireless Body Area Sensor Network; P.Deepalakshmi and V.Navya Chapter 10 Privacy and Security Issues on Wireless Body Area and IoT for Remote Healthcare Monitoring; Prabha Selvaraj and Sumathi Doraikannan Chapter 11 Intelligent Pervasive Computing Systems for Smarter Healthcare; Padma T and Jayashree Nair Chapter 12 Image Analysis Using Smartphones for Medical Applications: A Survey; Rajeswari, R. and Jothilakshmi, R. …”
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Generalized Network Design Problems : Modeling and Optimization. by Pop, Petrică C.

Table of Contents: “…2.4 Approximation results for the GMSTP2.4.1 Introduction; 2.4.2 Positive results: the design of the approximation algorithms; 2.4.3 A negative result for the GMSTP; 2.4.4 An approximation algorithm for the GMSTP with bounded cluster size; 2.5 Solving the GMSTP; 2.5.1 A branch-and-cut algorithm for solving the GMSTP; 2.5.2 A heuristic algorithm for solving the GMSTP; 2.5.3 Rooting procedure for solving the GMSTP; 2.5.4 Solving the GMSTP with Simulated Annealing; 2.6 Notes; 3 The Generalized Traveling Salesman Problem (GTSP); 3.1 Definition and complexity of the GTSP.…”
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Handbook of simulation optimization

Table of Contents: “…3.3 Optimal Computing Budget Allocation (OCBA)3.3.1 Maximization of PCS; 3.3.2 Asymptotic Allocation Rule; 3.3.3 Sequential Heuristic Algorithm for Allocation; OCBA Algorithm; Alternative Simpler OCBA Procedure; 3.3.4 Numerical Results; 3.3.5 Minimization of EOC; 3.3.6 Other Variants; Subset Selection Problem; Handling Optimization with Multiple Performance Measures; Other Recent Developments; Generalized OCBA Notions; 3.4 Expected Value of Information (EVI); 3.4.1 Linear Loss (LL); Minimization of EOC; Allocation Rules; 3.4.2 Small-Sample EVI Allocation Rule (LL1); Small-Sample EVI.…”
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Calculating the Secrets of Life : Contributions of the Mathematical Sciences to Molecular Biology. by Lander, Eric S.

Table of Contents: “…Variations in Gap Cost PenaltiesThe Duality Between Similarity and Difference Measures; Aligning More Than Two Sequences at a Time; K-Best Alignments; Approximate Pattern Matching; Parallel Computing; COMPARING ONE SEQUENCE AGAINST A DATABASE; Heuristic Algorithms; Sublinear Similarity Searches; OPEN PROBLEMS; REFERENCES; Chapter 4 Hearing Distant Echoes: Using Extremal Statistics to Probe Evolutionary Origins ; GLOBAL SEQUENCE COMPARISONS; Sequence Alignment; Alignment Given; Alignment Unknown; LOCAL SEQUENCE COMPARISONS; Alignment Given; Alignment Unknown; APPLICATION TO RNA EVOLUTION.…”
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Electronic design automation : synthesis, verification, and test

Table of Contents: “…2.6 Low-power circuit design techniques2.7 Concluding remarks; 2.8 Exercises; Acknowledgments; References; CHAPTER 3 Design for testability; 3.1 Introduction; 3.2 Testability analysis; 3.3 Scan design; 3.4 Logic built-in self-test; 3.5 Test Compression; 3.6 Concluding remarks; 3.7 Exercises; Acknowledgments; References; CHAPTER 4 Fundamentals of algorithms; 4.1 Introduction; 4.2 Computational complexity; 4.3 Graph algorithms; 4.4 Heuristic algorithms; 4.5 Mathematical programming; 4.6 Concluding remarks; 4.7 Exercises; Acknowledgments; References…”
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Pattern Recognition in Computational Molecular Biology : Techniques and Approaches by Elloumi, Mourad, Iliopoulos, Costas, Wang, Jason T. L., Zomaya, Albert Y.

Table of Contents: “…2.4 Techniques for Proving Inapproximability Results for String Barcoding Problems2.5 Heuristic Algorithms for String Barcoding Problems; 2.6 Conclusion; Acknowledgments; References; Chapter 3: Alignment-Free Measures for Whole-Genome Comparison; 3.1 Introduction; 3.2 Whole-Genome Sequence Analysis; 3.3 Underlying Approach; 3.4 Experimental Results; 3.5 Conclusion; Author's Contributions; 3.6 Acknowledgments; References; Chapter 4: A Maximum Likelihood Framework for Multiple Sequence Local Alignment; 4.1 Introduction; 4.2 Multiple Sequence Local Alignment; 4.3 Motif Finding Algorithms.…”
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Machine Learning for Financial Engineering. by Gyorfi, Laszlo

Table of Contents: “…Experiments on Heuristic Algorithms3.4. Growth-Optimal Portfolio Selection Algorithms; 3.5. …”
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Low-power and high-sensitivity magnetic sensors and systems by Weiss, Eyal, Alimi, Roger

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Artificial Intelligence in Industry 4.0 and 5G Technology

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