DMCA. Copyrighted Work that you can Claim.
Base have 820 524 books.
Search: 


📙 Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007. Proceedings by Arne Løkketangen (auth.), Thomas Stützle, Mauro Birattari, Holger H. Hoos (eds.) — free download


Stochastic local search (SLS) algorithms enjoy great popularity as powerful and versatile tools for tackling computationally hard decision and optimization pr- lems from many areas of computer science, operations research, and engineering. To a large degree, this popularity is based on the conceptual simplicity of many SLS methods and on their excellent performance on a wide gamut of problems, ranging from rather abstract problems of high academic interest to the very s- ci?c problems encountered in many real-world applications. SLS methods range from quite simple construction procedures and iterative improvement algorithms to more complex general-purpose schemes, also widely known as metaheuristics, 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, and overall resembled more an art than a science. However, in recent years it has become evident that at the core of this development task there is a highly complex engineering process, which combines various aspects of algorithm design with empirical analysis techniques and problem-speci?c background, and which relies heavily on knowledge from a number of disciplines and areas, including computer science, operations research, arti?cial intelligence, and statistics. This development process needs to be - sisted by a sound methodology that addresses the issues arising in the various phases of algorithm design, implementation, tuning, and experimental eval- tion.



About file:

  • File size: 3 799 324
  • Format: pdf


Security code:
Download button

Similar books results


Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: International Workshop, SLS 2009, Brussels, ... Computer Science and General Issues)
Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: International Workshop, SLS 2009, Brussels, ... Computer Science and General Issues) download pdf by Thomas Stützle, Mauro Birattari, Holger H. Hoos

This book constitutes the refereed proceedings of the International Workshop on Engineering Stochastic Local Search Algorithms 2009, held in Brussels, Belgium, September 3-5, 2009. The 7 revised full papers presented together with 10 short papers were ...

Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: Second International Workshop, SLS 2009, Brussels, Belgium, September 3-4, 2009. Proceedings
Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: Second International Workshop, SLS 2009, Brussels, Belgium, September 3-4, 2009. Proceedings pdf free by Bertrand Estellon, Frédéric Gardi, Karim Nouioua (auth.), Thomas Stützle, Mauro Birattari, Holger H. Hoos (eds.)

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...

Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: Second International Workshop, SLS 2009, Brussels, Belgium, September 3-4, 2009. Proceedings
Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: Second International Workshop, SLS 2009, Brussels, Belgium, September 3-4, 2009. Proceedings epub download by Bertrand Estellon, Frédéric Gardi, Karim Nouioua (auth.), Thomas Stützle, Mauro Birattari, Holger H. Hoos (eds.)

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...

Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007. Proceedings
Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007. Proceedings free epub by Arne Løkketangen (auth.), Thomas Stützle, Mauro Birattari, Holger H. Hoos (eds.)

Stochastic local search (SLS) algorithms enjoy great popularity as powerful and versatile tools for tackling computationally hard decision and optimization pr- lems from many areas of computer science, operations research, and engineering. To a large degr...

Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: Second International Workshop, SLS 2009, Brussels, Belgium, September 3-4, 2009. Proceedings
Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics: Second International Workshop, SLS 2009, Brussels, Belgium, September 3-4, 2009. Proceedings pdf free by Bertrand Estellon, Frédéric Gardi, Karim Nouioua (auth.), Thomas Stützle, Mauro Birattari, Holger H. Hoos (eds.)

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...

Stochastic Local Search : Foundations & Applications (The Morgan Kaufmann Series in Artificial Intelligence)
Stochastic Local Search : Foundations & Applications (The Morgan Kaufmann Series in Artificial Intelligence) epub download by Holger H. Hoos, Thomas Stutzle

Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems in many areas of computer science and operations research, including propositional satisfiability, constraint sa...

Stochastic Local Search: Foundations & Applications (The Morgan Kaufmann Series in Artificial Intelligence)
Stochastic Local Search: Foundations & Applications (The Morgan Kaufmann Series in Artificial Intelligence) free download by Holger H. Hoos, Thomas Stützle

The Travelling Salesman Problem (more politically correctly called the Travelling Salesperson Problem)(How about we call it the TSP?) is a common real world problem. The problem is simplely stated: How do you find the shortest path for a travelling sales_...

Matheuristics: Hybridizing Metaheuristics and Mathematical Programming
Matheuristics: Hybridizing Metaheuristics and Mathematical Programming free epub by Marco Caserta, Stefan Voß (auth.), Vittorio Maniezzo, Thomas Stützle, Stefan Voß (eds.)

Metaheuristics: Intelligent Problem SolvingMarco Caserta and Stefan VoßJust MIP it!Matteo Fischetti, Andrea Lodi, and Domenico SalvagninMetaBoosting: Enhancing Integer Programming Techniques by MetaheuristicsJakob Puchinger, Günther R. Raidl, and Sandro P...

Matheuristics: Hybridizing Metaheuristics and Mathematical Programming
Matheuristics: Hybridizing Metaheuristics and Mathematical Programming free pdf by Marco Caserta, Stefan Voß (auth.), Vittorio Maniezzo, Thomas Stützle, Stefan Voß (eds.)

Metaheuristics: Intelligent Problem SolvingMarco Caserta and Stefan VoßJust MIP it!Matteo Fischetti, Andrea Lodi, and Domenico SalvagninMetaBoosting: Enhancing Integer Programming Techniques by MetaheuristicsJakob Puchinger, Günther R. Raidl, and Sandro P...