Search Results - (((((((ant OR want) OR ante) OR wanting) OR cantor) OR anne) OR giant) OR wanting) 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. …”
Full text (MFA users only)

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.…”
Full text (MFA users only)

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. …”
Full text (MFA users only)

On the Shoulders of Giants : New Approaches to Numeracy.

Table of Contents: “…""On the Shoulders of Giants""; ""Copyright""; ""Preface""; ""Contents""; ""Pattern""; ""FUNDAMENTAL MATHEMATICS""; ""FIVE SAMPLES""; ""CONNECTIONS""; ""GAINING PERSPECTIVE""; ""REFERENCES AND RECOMMENDED READING""; ""Dimension""; ""INTRODUCTION""; ""The Dimensional Ladder""; ""Giving Geometrical Gifts""; ""MEASURING VOLUMES""; ""Decomposition Models""; ""Pyramid Problems""; ""Cylinders and Discs""; ""VISUALIZING DIMENSIONS""; ""Growth Factors""; ""Rates and Averages""; ""Drawing Cubes""; ""COORDINATES IN DIFFERENT DIMENSIONS""; ""Number Lines and Circles""; ""Lengths and Perimeters""…”
Full text (MFA users only)

Algorithms for Dummies. by Mueller, John Paul

Table of Contents: “…Distinguishing between Issues and Solutions -- Being correct and efficient -- Discovering there is no free lunch -- Adapting the strategy to the problem -- Describing algorithms in a lingua franca -- Facing problems that are like brick walls, only harder -- Structuring Data to Obtain a Solution -- Understanding a computer's point of view -- Arranging data makes the difference -- Chapter 2 Considering Algorithm Design -- Starting to Solve a Problem -- Modeling real-world problems -- Finding solutions and counterexamples -- Standing on the shoulders of giants -- Dividing and Conquering…”
Full text (MFA users only)

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

Full text (MFA users only)

Nature-inspired optimization algorithms by Yang, Xin-She

Full text (MFA users only)

Swarm intelligence and bio-inspired computation : theory and applications

Full text (MFA users only)

Introduction to cryptography by Padhye, Sahadeo, Sahu, Rajeev A., Saraswat, Vishal

Table of Contents: “…3.7 Quadratic Congruence3.7.1 Quadratic Residue or Non-Residue; 3.7.2 Legendre Symbol and Jacobi Symbol; 3.8 Exponentiation and Logarithm; 3.8.1 Square and Multiply Method; 3.9 Discrete Logarithm Problem; 3.9.1 Shank's Baby-Step Giant-Step Algorithm; 3.9.2 Pollard's Rho Algorithm; 3.9.3 Pohlig-Hellman Algorithm; 3.9.4 Index Calculus Algorithm; 3.10 Exercises; 4 Probability and Perfect Secrecy; 4.1 Basic Concept of Probability; 4.2 Birthday Paradox; 4.3 Perfect Secrecy; 4.4 Vernam One-Time Pad; 4.5 Random Number Generation; 4.6 Pseudo-random Number Generator; 4.7 Exercises; 5 Complexity Theory.…”
Full text (MFA users only)

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. …”
Full text (MFA users only)

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…”
Full text (MFA users only)

An Introduction to Algorithmic Trading : Basic to Advanced Strategies. by Leshik, Edward, Cralle, Jane

Table of Contents: “…Introduction to trading algorithms. History ; All about trading algorithms you ever wanted to know ... ; Algos defined and explained ; Who uses and provides algos ; Why have they become mainstream so quickly? …”
Full text (MFA users only)

Graph algorithms and applications 3

Full text (MFA users only)

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. …”
Full text (MFA users only)

Introduction to programming : learn to program in Java with data structures, algorithms, and logic by Samoylov, Nick

Full text (MFA users only)

Digital is destroying everything : what the tech giants won't tell you about how robots, big data, and algorithms are radically remaking your future / by Edwards, Andrew V., 1956-

Full text (MFA users only)

Building winning algorithmic trading systems : a trader's journey from data mining to Monte Carlo simulation to live trading by Davey, Kevin J., 1966-

Full text (MFA users only)

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

Full text (MFA users only)

Learning JavaScript data structures and algorithms : understand and implement classic data structures and algorithms using JavaScript by Groner, Loiane

Full text (MFA users only)

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).…”
Full text (MFA users only)