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Models, Algorithms, and Technologies for Network Analysis

SPMS: MODELS ALGORITHMS & TECHNOLOGIES NETWORK ANALYSIS

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This volume contains two types of papers—a selection of contributions from the "Second International Conference in Network Analysis" held in Nizhny Novgorod on May 7–9, 2012, and papers submitted to an 'open call for papers' reflecting the activities of LATNA at the Higher School for Economics. This volume contains many new results in modeling and powerful algorithmic solutions applied to problems in• vehicle routing 
• single machine scheduling 
• modern financial markets
• cell formation in group technology
• brain activities of left- and right-handers
• speeding up algorithms for the maximum clique problem
• analysis and applications of different measures in clusteringThe broad range of applications that can be described and analyzed by means of a network brings together researchers, practitioners, and other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. The contributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis. Researchers, students, and engineers from various disciplines will benefit from the state-of-the-art in models, algorithms, technologies, and techniques presented.

POST SECONDARY FOUR YEAR

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Front Cover.
Other Frontmatter.
Title Page.
Copyright Page.
Dedication.
Preface.
Program of the Second International Conference on Network Analysis 2012.
Contents.
1: Tolerance-Based vs. Cost-Based Branching for the Asymmetric Capacitated Vehicle Routing Problem.
2: Lower and Upper Bounds for the Preemptive Single Machine Scheduling Problem with Equal Processing Times.
3: Comparative Analysis of Two Similarity Measures for the Market Graph Construction.
4: Heuristic Algorithm for the Cell Formation Problem.
5: Efficiency Analysis of Branch Network.
6: EEG Coherence in Right- and Left-Handers in Passive Visual Perception of Lines with Different Slope Angles.
7: Speeding up MCS Algorithm for the Maximum Clique Problem with ILS Heuristic and Other Enhancements.
8: Summary and Semi-average Similarity Criteria for Individual Clusters.
9: Kernel Principal Component Analysis: Applications, Implementation and Comparison.
10: Distance-Based Clique Relaxations in Networks: s-Clique and s-Club.
11: GRASP with Path-Relinking for Facility Layout.
12: Comparative Analysis of the BRIC Countries Stock Markets Using Network Approach.
13: Sensor Cover and Double Partition.

Models, Algorithms, and Technologies for Network Analysis.css-1p8rvzy{position:absolute;padding-left:8px;}

Models, Algorithms, and Technologies for Network Analysis