Metaheuristics Progress in Complex Systems Optimization /

The aim of METAHEURISTICS: Progress in Complex Systems Optimization is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern co...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Doerner, Karl F. (Επιμελητής έκδοσης), Gendreau, Michel (Επιμελητής έκδοσης), Greistorfer, Peter (Επιμελητής έκδοσης), Gutjahr, Walter (Επιμελητής έκδοσης), Hartl, Richard F. (Επιμελητής έκδοσης), Reimann, Marc (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2007.
Σειρά:Operations Research/Computer Science Interfaces Series, 39
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Scatter Search
  • Experiments Using Scatter Search for the Multidemand Multidimensional Knapsack Problem
  • A Scatter Search Heuristic for the Fixed-Charge Capacitated Network Design Problem
  • Tabu Search
  • Tabu Search-Based Metaheuristic Algorithm for Large-scale Set Covering Problems
  • Log-Truck Scheduling with a Tabu Search Strategy
  • Nature-inspired methods
  • Solving the Capacitated Multi-Facility Weber Problem by Simulated Annealing, Threshold Accepting and Genetic Algorithms
  • Reviewer Assignment for Scientific Articles using Memetic Algorithms
  • GRASP and Iterative Methods
  • Grasp with Path-Relinking for the Tsp
  • Using a Randomised Iterative Improvement Algorithm with Composite Neighbourhood Structures for the University Course Timetabling Problem
  • Dynamic and Stochastic Problems
  • Variable Neighborhood Search for the Probabilistic Satisfiability Problem
  • The ACO/F-Race Algorithm for Combinatorial Optimization Under Uncertainty
  • Adaptive Control of Genetic Parameters for Dynamic Combinatorial Problems
  • A Memetic Algorithm for Dynamic Location Problems
  • A Study of Canonical GAs for NSOPs
  • Particle Swarm Optimization and Sequential Sampling in Noisy Environments
  • Distributed and Parallel Algorithms
  • Embedding a Chained Lin-Kernighan Algorithm into a Distributed Algorithm
  • Exploring Grid Implementations of Parallel Cooperative Metaheuristics
  • Algorithm Tuning, Algorithm Design and Software Tools
  • Using Experimental Design to Analyze Stochastic Local Search Algorithms for Multiobjective Problems
  • Distance Measures and Fitness-Distance Analysis for the Capacitated Vehicle Routing Problem
  • Tuning Tabu Search Strategies Via Visual Diagnosis
  • Solving Vehicle Routing Using IOPT.