Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics Second International Workshop, SLS 2009, Brussels, Belgium, September 3-4, 2009. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Stützle, Thomas (Επιμελητής έκδοσης), Birattari, Mauro (Επιμελητής έκδοσης), Hoos, Holger H. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
• Σειρά: Lecture Notes in Computer Science, 5752
• Θέματα: Computer science.; Computer programming.; Data structures (Computer science).; Algorithms.; Computer logic.; Computer Science.; Programming Techniques.; Data Structures.; Data Structures, Cryptology and Information Theory.; Data Storage Representation.; Algorithm Analysis and Problem Complexity.; Logics and Meanings of Programs.

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 ap...

Πίνακας περιεχομένων:

• High-Performance Local Search for Task Scheduling with Human Resource Allocation
• High-Performance Local Search for Task Scheduling with Human Resource Allocation
• On the Use of Run Time Distributions to Evaluate and Compare Stochastic Local Search Algorithms
• Estimating Bounds on Expected Plateau Size in MAXSAT Problems
• A Theoretical Analysis of the k-Satisfiability Search Space
• Loopy Substructural Local Search for the Bayesian Optimization Algorithm
• Running Time Analysis of ACO Systems for Shortest Path Problems
• Techniques and Tools for Local Search Landscape Visualization and Analysis
• Short Papers
• High-Performance Local Search for Solving Real-Life Inventory Routing Problems
• A Detailed Analysis of Two Metaheuristics for the Team Orienteering Problem
• On the Explorative Behavior of MAX–MIN Ant System
• A Study on Dominance-Based Local Search Approaches for Multiobjective Combinatorial Optimization
• A Memetic Algorithm for the Multidimensional Assignment Problem
• Autonomous Control Approach for Local Search
• EasyGenetic: A Template Metaprogramming Framework for Genetic Master-Slave Algorithms
• Adaptive Operator Selection for Iterated Local Search
• Improved Robustness through Population Variance in Ant Colony Optimization
• Mixed-Effects Modeling of Optimisation Algorithm Performance.