Integer Programming And Combinatorial Optimization

This book constitutes the refereed proceedings of the 12th International Conference on Integer Programming and Combinatorial Optimization, IPCO 2007, held in Ithaca, NY, USA, in June 2007.The 36 revised full papers presented were carefully reviewed and selected from over 120 submissions. Among the topics addressed are approximation algorithms, algorithmic game theory, branch and bound algorithms, branch and cut algorithms, computational biology, computational complexity, computational geometry, cutting plane algorithms, diophantine equations, geometry of numbers, graph and network algorithms, integer programming, matroids and submodular functions, on-line algorithms and competitive analysis, polyhedral combinatorics, randomized algorithms, random graphs, scheduling theory and scheduling algorithms, as well as semidefinite programs. 000......Page 1 001......Page 9 Concluding Remarks......Page 0 016......Page 24 030......Page 38 043......Page 51 053......Page 61 068......Page 76 074......Page 82 089......Page 97 104......Page 112 119......Page 127 130......Page 138 145......Page 153 158......Page 166 167......Page 175 182......Page 190 197......Page 205 210......Page 218 225......Page 233 Introduction......Page 248 The Base Polyhedron......Page 249 Distance Functions and Optimality Conditions......Page 250 Distance Functions and Extreme Vectors......Page 252 A Strongly Polynomial Algorithm for SFM......Page 253 The Auxiliary Matrix and How to Choose $\γ$......Page 254 Proof of Correctness and Time Bound......Page 256 References......Page 259 252......Page 260 267......Page 275 280......Page 288 295......Page 303 310......Page 318 324......Page 332 337......Page 345 352......Page 360 367......Page 375 382......Page 390 397......Page 405 410......Page 418 424......Page 432 439......Page 447 454......Page 462 469......Page 477 484......Page 492 500......Page 507 "Bioinformatics as well as Computational Intelligence are undoubtedly remarkably fast growing fields of research and real-world applications with enormous potential for current and future developments. "Bioinformatics using Computational Intelligence Paradigms" contains recent theoretical approaches and guiding applications of biologically inspired information processing systems (Computational Intelligence) against the background of bioinformatics. This carefully edited monograph combines the latest results of Bioinformatics and Computational Intelligence and offers a promising cross-fertilisation and interdisciplinary work between these growing fields."--Résumé de l'éditeur "Bioinformatics as well as Computational Intelligence are undoubtedly remarkably fast growing fields of research and real-world applications with enormous potential for current and future developments. "Bioinformatics using Computational Intelligence Paradigms" contains recent theoretical approaches and guiding applications of biologically inspired information processing systems (Computational Intelligence) against the background of bioinformatics. This carefully edited monograph combines the latest results of Bioinformatics and Computational Intelligence and offers a promising cross-fertilisation and interdisciplinary work between these growing fields."--Jacket

Bioinformatics and computational intelligence are undoubtedly remarkably fast growing fields of research and real-world applications with enormous potential for current and future developments. Bioinformatics Using Computational Intelligence Paradigms contains recent theoretical approaches and guiding applications of biologically inspired information processing systems (computational intelligence) against the background of bioinformatics. This carefully edited monograph combines the latest results of bioinformatics and computational intelligence, and offers promising cross-fertilization and interdisciplinary work between these growing fields.