Search Results - (((((((ant OR manthe) OR king) OR semantic) OR cantor) OR anne) OR halted) OR granting) 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)

Responsible Data Science : transparency and fairness in algorithms by Fleming, Grant

Full text (MFA users only)

Theory of randomized search heuristics : foundations and recent developments

Table of Contents: “…Runtime Analysis of Evolutionary Algorithms for Discrete Optimization Peter S. Oliveto and Xin Yao; 3. …”
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)

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)

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)

Semantic matchmaking with nonmonotonic description logics by Grimm, Stephan

Table of Contents: “…Nonmonotonic Reasoning in the Semantic WebNonmonotonic Description Logics; Autoepistemic Description Logics; Formal Semantics for Autoepistemic DLs; Reasoning with Epistemic Operators; Circumscriptive Description Logics; Formal Semantics for Circumscriptive DLs; Reasoning with Circumscribed Knowledge Bases; Terminological Defaults; Discussion; A Reasoning Algorithm for Circumscriptive Description Logics; Principle Idea of a Tableaux Extension; Extending DL Tableaux Calculi by Preference Clashes; Restrictions on the Formalism; Deciding Circumscriptive ALCO…”
Full text (MFA users only)

Graph algorithms and applications 3

Full text (MFA users only)

Data management in the semantic web

Table of Contents: “…DATA MANAGEMENT IN THE SEMANTIC WEB ; DATA MANAGEMENT IN THE SEMANTIC WEB ; CONTENTS ; PREFACE ; INTERPRETATIONS OF THE WEB OF DATA; Abstract; 1. …”
Full text (MFA users only)

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

Table of Contents: “…Ant colony optimization…”
Full text (MFA users only)

Learning OWL class expressions by Lehmann, Jens, 1982-

Table of Contents: “…Refinement Operator Based OWL Learning Algorithms; OCEL (OWL Class Expression Learner); Redundancy Elimination; Creating a Full Learning Algorithm; ELTL (EL Tree Learner)…”
Full text (MFA users only)

Natural language processing : semantic aspects by Kapetanios, Epaminondas, Tatar, Doina, 1943-, Sacarea, Christian

Full text (MFA users only)

Data Structure and Algorithms Using C++ : A Practical Implementation. by Mohanty, Sachi Nandan

Table of Contents: “…4.8 Inline Member Function -- 4.9 Friend Function -- 4.9.1 Simple Friend Function -- 4.9.2 Friend With Inline Substitution -- 4.9.3 Granting Friendship to Another Class (Friend Class) -- 4.9.4 More Than One Class Having the Same Friend Function -- 4.10 Static Data Member and Member Functions -- 4.11 Constructor and Destructor -- 4.11.1 Constructor -- 4.11.2 Destructor -- 4.12 Dynamic Memory Allocation -- 4.13 This Pointer -- 4.14 Class Within Class -- 4.15 Questions -- 5 Stack -- 5.1 STACK -- 5.2 Operations Performed With STACK -- 5.3 ALGORITHMS -- 5.4 Applications of STACK…”
Full text (MFA users only)

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

Full text (MFA users only)

Learning Neo4j 3.x - Second Edition. by Baton, Jerome

Full text (MFA users only)

Deep Learning for the Earth Sciences : A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences. by Camps-Valls, Gustau

Table of Contents: “…6.1.4 Evaluation Metrics -- 6.1.4.1 Precision-Recall Curve -- 6.1.4.2 Average Precision and Mean Average Precision -- 6.1.5 Applications -- 6.2 Preliminaries on Object Detection with Deep Models -- 6.2.1 Two-stage Algorithms -- 6.2.1.1 R-CNNs -- 6.2.1.2 R-FCN -- 6.2.2 One-stage Algorithms -- 6.2.2.1 YOLO -- 6.2.2.2 SSD -- 6.3 Object Detection in Optical RS Images -- 6.3.1 Related Works -- 6.3.1.1 Scale Variance -- 6.3.1.2 Orientation Variance -- 6.3.1.3 Oriented Object Detection -- 6.3.1.4 Detecting in Large-size Images -- 6.3.2 Datasets and Benchmark -- 6.3.2.1 DOTA -- 6.3.2.2 VisDrone…”
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)