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...
| Autor Corporativo: | |
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| Otros Autores: | |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
New York :
Springer
c2007.
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| Edición: | 1st ed. 2007. |
| Colección: | Operations research/computer science interfaces series ;
39. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009461844706719 |
Tabla de Contenidos:
- 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.
