Search Results - (((((((ant OR wantis) OR wien) OR anting) OR cantor) OR anne) OR jayant) OR whiting) 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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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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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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Derivatives algorithms. Volume 1, Bones by Hyer, Tom

Table of Contents: “…Customizing vectors. 4.2. Algorithms. 4.3. Matrices and square matrices. 4.4. …”
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Algorithmic composition : a guide to composing music with Nyquist by Simoni, Mary Hope

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Algorithms of oppression : how search engines reinforce racism by Noble, Safiya Umoja

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Nature-inspired optimization algorithms by Yang, Xin-She

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Crop Pest and Disease Remote Sensing Monitoring and Forecasting by Dong, Yingying, Geng, Yun, Guo, Anting, Huang, Wenjang, Ma, Huiqin, Ruan, Chao

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Proportionate-type normalized least mean square algorithms by Wagner, Kevin

Table of Contents: “…Transient analysis of PtNLMS algorithm for white input3.1.1. Link between MSWD and MSE; 3.1.2. …”
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Algorithms in invariant theory by Sturmfels, Bernd, 1962-

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Swarm intelligence and bio-inspired computation : theory and applications

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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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Support vector machine in chemistry

Table of Contents: “…Kernel functions: technique for nonlinear data processing by linear algorithm. 1.7. Support vector regression: regression based on principle of statistical learning theory. 1.8. …”
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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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Graph algorithms and applications 3

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Metaheuristic optimization for the design of automatic control laws by Sandou, Guillaume

Table of Contents: “…Problem modeling -- 2.3. Ant colony optimization -- 2.3.1. Ant colony social behavior -- 2.3.2. …”
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Handbook of mathematics and statistics for the environment by Spellman, Frank R., Whiting, Nancy E.

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Network and discrete location : models, algorithms, and applications by Daskin, Mark S., 1952-

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Cognitive Radio Networks Optimization with Spectrum Sensing Algorithms. by Dhope, Tanuja S.

Table of Contents: “…Cover; Half Title -- Cognitive Radio Networks Optimization with Spectrum Sensing Algorithms; Seres in River Publishers; Title -- Cognitive Radio Networks Optimization with Spectrum Sensing Algorithms; Copyright; Contents; Preface; Acknowledgments; List of Figures; List of Tables; List of Abbreviations; Chapter_1 Novel Application of TV White Space; 1.1 Introduction; 1.2 DD: International Scenario; 1.3 Regulatory Framework in India; 1.4 DD: Indian Scenario; 1.4.1 Spectrum Allocation in India; 1.5 Joint Task Group and 700 MHz; 1.6 Opportunistic Spectrum Access in India; 1.7 Opportunities inTVWS.…”
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Meta-heuristic and evolutionary algorithms for engineering optimization by Bozorg-Haddad, Omid, 1974-, Solgi, Mohammad, 1989-, Loaiciga, Hugo A.

Table of Contents: “…Overview of optimization -- Introduction to meta-heuristic and evolutionary algorithms -- Pattern search (PS) -- Genetic algorithm (GA) -- Simulated annealing (SA) -- Tabu search (TS) -- Ant colony optimization (ACO) -- Particle swarm optimization (PSO) -- Differential evolution (DE) -- Harmony search (HS) -- Shuffled frog-leaping algorithm (SFLA) -- Honey-bee mating optimization (HBMO) -- Invasive weed optimization (IWO) -- Central force optimization (CFO) -- Biogeography-based optimization (BBO) -- Firefly algorithm (FA) -- Gravity search algorithm (GSA) -- Bat algorithm (BA) -- Plant propagation algorithm (PPA) -- Water cycle algorithm (WCA) -- Symbiotic organisms search (SOS) -- Comprehensive evolutionary algorithm (CEA).…”
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