Metaheuristic Optimization via Memory and Evolution Tabu Search and Scatter Search /

Tabu Search (TS) and, more recently, Scatter Search (SS) have proved highly effective in solving a wide range of optimization problems, and have had a variety of applications in industry, science, and government. The goal of METAHEURISTIC OPTIMIZATION VIA MEMORY AND EVOLUTION: Tabu Search and Scatte...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Sharda, Ramesh (Επιμελητής έκδοσης), Voß, Stefan (Επιμελητής έκδοσης), Rego, César (Επιμελητής έκδοσης), Alidaee, Bahram (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2005.
Σειρά:Operations Research/Computer Science Interfaces Series, 30
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Advances for New Model and Solution Approaches
  • A Scatter Search Tutorial for Graph-Based Permutation Problems
  • A Multistart Scatter Search Heuristic for Smooth NLP and MINLP Problems
  • Scatter Search Methods for the Covering Tour Problem
  • Solution of the SONET Ring Assignment Problem with Capacity Constraints
  • Advances for Solving Classical Problems
  • A Very Fast Tabu Search Algorithm for Job Shop Problem
  • Tabu Search Heuristics for the Vehicle Routing Problem
  • Some New Ideas in TS for Job Shop Scheduling
  • A Tabu Search Heuristic for the Uncapacitated Facility Location Problem
  • Adaptive Memory Search Guidance for Satisfiability Problems
  • Experimental Evaluations
  • Lessons from Applying and Experimenting with Scatter Search
  • Tabu Search for Mixed Integer Programming
  • Scatter Search vs. Genetic Algorithms
  • Review of Recent Developments
  • Parallel Computation, Co-operation, Tabu Search
  • Using Group Theory to Construct and Characterize Metaheuristic Search Neighborhoods
  • Logistics Management
  • New Procedural Designs
  • On the Integration of Metaheuristic Strategies in Constraint Programming
  • General Purpose Metrics for Solution Variety
  • Controlled Pool Maintenance for Metaheuristics
  • Adaptive Memory Projection Methods for Integer Programming
  • RAMP: A New Metaheuristic Framework for Combinatorial Optimization.