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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Rego, Cesar
مؤلفون آخرون: Alidaee, Bahram (مدير النشر)
التنسيق: Livre numérique
اللغة:Anglais
منشور في: New York, NY : Springer US 2005.
Cham : Springer Nature
سلاسل:Operations Research/Computer Science Interfaces Series 30
الوصول للمادة أونلاين:Accès sur la plateforme de l'éditeur
Accès sur la plateforme de l'éditeur (Springer)
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
ملاحظة: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Metaheuristic Optimization via Memory and Evolution, Texte imprimé, 9781402081347
• Metaheuristic Optimization via Memory and Evolution, Texte imprimé, 9781441954831
• Metaheuristic Optimization via Memory and Evolution, Texte imprimé, 9780387522661
جدول المحتويات:
  • 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.