Search Methodologies Introductory Tutorials in Optimization and Decision Support Techniques /

The first edition of Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques was originally put together to offer a basic introduction to the various search and optimization techniques that students might need to use during their research, and this new edition co...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Burke, Edmund K. (Editor), Kendall, Graham (Editor)
Format: Electronic eBook
Language:English
Published: Boston, MA : Springer US : Imprint: Springer, 2014.
Edition:2nd ed. 2014.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Introduction
  • Classical Techniques
  • Integer Programming
  • Genetic Algorithms
  • Scatter Search
  • Genetic Programming
  • Artificial Immune Systems
  • Swarm Intelligence
  • Tabu Search
  • Simulated Annealing
  • GRASP: Greedy Randomized Adaptive Search Procedures
  • Variable Neighborhood Search
  • Very Large-Scale Neighborhood Search
  • Constraint Programming
  • Multi-objective Optimization
  • Sharpened and Focused No Free Lunch and Complexity Theory
  • Machine Learning
  • Fuzzy Reasoning
  • Rough-Set-Based Decision Support
  • Hyper-heuristics
  • Approximations and Randomization
  • Fitness Landscapes.