stochastic local search foundations and applications the morgan kaufmann series in artificial intelligence

Download Book Stochastic Local Search Foundations And Applications The Morgan Kaufmann Series In Artificial Intelligence in PDF format. You can Read Online Stochastic Local Search Foundations And Applications The Morgan Kaufmann Series In Artificial Intelligence here in PDF, EPUB, Mobi or Docx formats.

Stochastic Local Search

Author : Holger H. Hoos
ISBN : 9781558608726
Genre : Business & Economics
File Size : 37. 87 MB
Format : PDF, ePub, Mobi
Download : 526
Read : 504

Get This Book

Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems. Offering a systematic treatment of SLS algorithms, this book examines the general concepts and specific instances of SLS algorithms and considers their development, analysis and application.

Stochastic Local Search Algorithms For Multiobjective Combinatorial Optimization

Author : Luis F. Paquete
ISBN : 1586035967
Genre : Computers
File Size : 65. 86 MB
Format : PDF, ePub, Mobi
Download : 326
Read : 437

Get This Book

Stochastic Local Search algorithms were shown to give state-of-the-art results for many other problems, but little is known on how to design and analyse them for Multiobjective Combinatorial Optimization Problems. This book aims to fill this gap. It defines two search models that correspond to two distinct ways of tackling MCOPs by SLS algorithms."

Engineering Stochastic Local Search Algorithms Designing Implementing And Analyzing Effective Heuristics

Author : Thomas Stützle
ISBN : 9783642037511
Genre : Computers
File Size : 86. 68 MB
Format : PDF, ePub
Download : 301
Read : 647

Get This Book

Stochastic local search (SLS) algorithms are established tools for the solution of computationally hard problems arising in computer science, business adm- istration, engineering, biology, and various other disciplines. To a large extent, their success is due to their conceptual simplicity, broad applicability and high performance for many important problems studied in academia and enco- tered in real-world applications. SLS methods include a wide spectrum of te- niques, ranging from constructive search procedures and iterative improvement algorithms to more complex SLS methods, such as ant colony optimization, evolutionary computation, iterated local search, memetic algorithms, simulated annealing, tabu search, and variable neighborhood search. Historically, the development of e?ective SLS algorithms has been guided to a large extent by experience and intuition. In recent years, it has become - creasingly evident that success with SLS algorithms depends not merely on the adoption and e?cient implementation of the most appropriate SLS technique for a given problem, but also on the mastery of a more complex algorithm - gineering process. Challenges in SLS algorithm development arise partly from the complexity of the problems being tackled and in part from the many - grees of freedom researchers and practitioners encounter when developing SLS algorithms. Crucial aspects in the SLS algorithm development comprise al- rithm design, empirical analysis techniques, problem-speci?c background, and background knowledge in several key disciplines and areas, including computer science, operations research, arti?cial intelligence, and statistics.

Personnel Planning And Scheduling

Author : Sanja Petrović
ISBN : STANFORD:36105123856895
Genre : Manpower planning
File Size : 20. 98 MB
Format : PDF, ePub
Download : 808
Read : 1228

Get This Book


Author :
ISBN : 1595933131
Genre : User interfaces (Computer systems)
File Size : 47. 17 MB
Format : PDF, ePub, Docs
Download : 390
Read : 200

Get This Book

Ai 2005 Advances In Artificial Intelligence

Author : Shichao Zhang
ISBN : UOM:39015058760318
Genre : Artificial intelligence
File Size : 59. 37 MB
Format : PDF, Kindle
Download : 332
Read : 1134

Get This Book

This book constitutes the refereed proceedings of the 18th Australian Joint Conference on Artificial Intelligence, AI 2005, held in Sydney, Australia in December 2005. The 77 revised full papers and 119 revised short papers presented together with the abstracts of 3 keynote speeches were carefully reviewed and selected from 535 submissions. The papers are catgorized in three broad sections, namely: AI foundations and technologies, computational intelligence, and AI in specialized domains. Particular topics addressed by the papers are logic and reasoning, machine learning, game theory, robotic technology, data mining, neural networks, fuzzy theory and algorithms, evolutionary computing, Web intelligence, decision making, pattern recognition, agent technology, and AI applications.

Proceedings Of The National Conference On Artificial Intelligence

Author :
ISBN : 157735236X
Genre : Artificial intelligence
File Size : 86. 39 MB
Format : PDF
Download : 437
Read : 290

Get This Book

Uist 2006

Author : SIGCHI (Group : U.S.)
ISBN : 1595933131
Genre : Computer software
File Size : 26. 56 MB
Format : PDF, Mobi
Download : 324
Read : 784

Get This Book

Empirical Approach To The Complexity Of Hard Problems

Author : Eugene Nudelman
ISBN : STANFORD:36105119732175
Genre :
File Size : 38. 60 MB
Format : PDF, Mobi
Download : 684
Read : 537

Get This Book

Genetic And Evolutionary Computation Conference

Author :
ISBN : UIUC:30112071085002
Genre : Evolutionary computation
File Size : 61. 93 MB
Format : PDF, Kindle
Download : 463
Read : 595

Get This Book

Top Download:

Best Books