Search Results - (((((((ant OR wwanttti) OR wang) OR cantin) OR cantor) OR anne) OR carter) OR anting) 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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Selected Papers Of Wang Yuan. by Yuan, Wang

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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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Elimination Practice : Software Tools and Applications (With Cd-Rom). by Wang, Dongming

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Algorithmic and artificial intelligence methods for protein bioinformatics

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Evolutionary robotics : from algorithms to implementations by Wang, Lingfeng

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

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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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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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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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Signal processing for 5G : algorithms and implementations

Table of Contents: “…Massive MIMO for 5G: Theory, Implementation and Prototyping / Ove Edfors, Liang Liu, Fredrik Tufvesson, Nikhil Kundargi, Karl Nieman -- Millimeter-Wave MIMO Transceivers: Theory, Design and Implementation / Akbar M Sayeed, John H Brady -- 3D Propagation Channels: Modeling and Measurements / Andreas F Molisch -- 3D-MIMO with Massive Antennas: Theory, Implementation and Testing / Guangyi Liu, Xueying Hou, Fei Wang, Jing Jin, Hui Tong -- Orbital Angular Momentum-based Wireless Communications: Designs and Implementations / Alan E Willner, Yan Yan, Yongxiong Ren, Nisar Ahmed, Guodong Xie -- NEW SPECTRUM OPPORTUNITIES FOR 5G. …”
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Graph algorithms and applications 5

Table of Contents: “…David Eppstein and Joseph Wang, communicated by Martin Fürer. I/O-optimal algorithms for outerplanar graphs / Anil Maheshwari and Norbert Zeh, communicated by Michael T. …”
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Graph algorithms and applications 3

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Fast algorithms for structured matrices : theory and applications : AMS-IMS-SIAM Joint Summer Research Conference on Fast Algorithms in Mathematics, Computer Science, and Engineeri...

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

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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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