Design, Evaluation and Analysis of Combinatorial Optimization Heuristic Algorithms
by Daniel Karapetyan
Publisher: arXiv 2012
Number of pages: 202
In this work, we discuss different aspects of heuristics design and evaluation. A broad spectrum of related subjects, covered in this research, includes test bed generation and analysis, implementation and performance issues, local search neighborhoods and efficient exploration algorithms, metaheuristics design and population sizing in memetic algorithm.
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by Luca Trevisan - Stanford University
In this course we study algorithms for combinatorial optimization problems, the type of algorithms that arise in countless applications. The following 18 lectures cover topics in approximation algorithms, exact optimization, and online algorithms.
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From the table of contents: Shortest trees and branchings; Matchings and covers; Edge-colouring; Multicommodity flows and disjoint paths; Matroids; Perfect matchings in regular bipartite graphs; Minimum circulation of railway stock.
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This book describes a simple method that is iterative in essence, and useful in a variety of settings for exact and approximate optimization. The authors highlight the commonality and uses of this method to prove a variety of classical results.