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Modeling, analysis, and applications in metaheuristic computing advancements and trends /

"This book is a collection of the latest developments, models, and applications within the transdisciplinary fields related to metaheuristic computing, providing readers with insight into a wide range of topics such as genetic algorithms, differential evolution, and ant colony optimization"...

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Bibliographic Details
Corporate Author: IGI Global.
Other Authors: Yin, Peng-Yeng, 1966-
Format: Electronic
Language:English
Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2012.
Subjects:
Heuristic algorithms.
Computer simulation.
Applications of metaheuristic computing
Ant colony optimization
Foraging algorithm
Genetic algorithm
Hyper-heuristics
Local search
Memetic algorithm
Particle swarm optimization
Strategic oscillation
Variable neighborhood search
Online Access:Chapter PDFs via platform:
Table of Contents:
  • 1. Metaheuristic search with inequalities and target objectives for mixed binary optimization, part I: exploiting proximity / Fred Glover and Saïd Hanafi
  • 2. Metaheuristic search with inequalities and target objectives for mixed binary optimization, part II: exploiting reaction and resistance / Fred Glover and Saïd Hanafi
  • 3. A reinforcement learning: great-deluge hyper-heuristic for examination timetabling / Ender Özcan ... [et al.]
  • 4. A hybrid genetic algorithm for optimization of two-dimensional cutting-stock problem / Ahmed Mellouli ... [et al.]
  • 5. A rigorous analysis of the harmony search algorithm: how the research community can be misled by a "novel" methodology / Dennis Weyland
  • 6. Research commentary survival of the fittest algorithm or the novelest algorithm?: the existence reason of the harmony search algorithm / Zong Woo Geem
  • 7. DIMMA: A design and implementation methodology for metaheuristic algorithms: a perspective from software development / Masoud Yaghini and Mohammad Rahim Akhavan Kazemzadeh
  • 8. Movement strategies for multi-objective particle swarm optimization / S. Nguyen and V. Kachitvichyanukul
  • 9. A new multiagent algorithm for dynamic continuous optimization / Julien Lepagnot ... [et al.]
  • 10. Improving switched current sigma delta modulators' performances via the particle swarm optimization technique / M. Fakhfakh ... [et al.]
  • 11. A reinforced Tabu search approach for 2D strip packing / Giglia Gómez-Villouta, Jean-Philippe Hamiez, and Jin-Kao Hao
  • 12. A study of Tabu search for coloring random 3-colorable graphs around the phase transition / Jean-Philippe Hamiez, Jin-Kao Hao, and Fred W. Glover
  • 13. A metaheuristic approach to the graceful labeling problem / Houra Mahmoudzadeh and Kourosh Eshghi
  • 14. A survey on evolutionary instance selection and generation / Joaquín Derrac, Salvador García, and Francisco Herrera
  • 15. A sociopsychological perspective on collective intelligence in metaheuristic computing / Yingxu Wang
  • 16. Theorems supporting r-flip search for pseudo-boolean optimization / Bahram Alidaee, Gary Kochenberger, and Haibo Wang
  • 17. Stochastic learning for SAT-encoded graph coloring problems / Noureddine Bouhmala and Ole-Christoffer Granmo
  • 18. Page number and graph treewidth / Li Xianglu
  • 19. The analysis of zero inventory drift variants based on simple and general order-up-to policies / Jianing He and Haibo Wang
  • 20. BDD-based synthesis of reversible logic / Robert Wille and Rolf Drechsler.

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