New Techniques and Algorithms for Multiobjective and Lexicographic Goal-Based Shortest Path Problems

By Francisco J Pulido Arrebola and Francisco J Pulido Arrebola

Doctoral Thesis / Dissertation from the year 2015 in the subject Computer Science - Miscellaneous, University of M laga (University of M laga), language: English, abstract: Imagine navigating a complex network, not just seeking the quickest route, but balancing multiple, often conflicting priorities - that's the challenge at the heart of this groundbreaking work on multiobjective shortest path problems. Delving into the intricate world of graph theory and optimization, this research introduces innovative algorithms designed to revolutionize how we approach pathfinding in scenarios demanding more than just speed. Explore the development of cutting-edge techniques to efficiently solve multiobjective shortest path problems, pushing the boundaries of existing methodologies and providing novel approaches to real-world applications. Journey through a comprehensive exploration of lexicographic goal-based shortest path problems, unraveling specialized algorithms meticulously crafted to manage preferences articulated through lexicographic orderings of objectives. Uncover the complexities of computational complexity analysis and witness rigorous performance evaluations that benchmark the newly developed algorithms against state-of-the-art techniques, validating their practical applicability and highlighting their superior performance benefits. This study provides a robust foundation in both theoretical advancements and practical implementations within the field of algorithms, suitable for seasoned researchers and students alike. Witness firsthand how these algorithms rise to meet the ever-increasing demands of modern problem-solving, promising more efficient and effective solutions to complex network challenges and paving the way for future innovation in related fields. The meticulous investigation of multiobjective and lexicographic shortest path problems culminates in a suite of powerful tools for tackling intricate optimization challenges, offering a significant leap forwa

• Format: Paperback
• Language: English
• ISBN: 3668132496
• ISBN13: 9783668132498
• Release Date: February 2016
• Publisher: Grin Verlag
• Length: 196 Pages
• Weight: 0.58 lbs.
• Dimensions: 0.5" x 5.8" x 8.3"