Recent Advances in Evolutionary Computation for Combinatorial Optimization

Combinatorial optimisation is a ubiquitous discipline whose usefulness spans vast applications domains. The intrinsic complexity of most combinatorial optimisation problems makes classical methods unaffordable in many cases. To acquire practical solutions to these problems requires the use of metahe...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Cotta, Carlos (Επιμελητής έκδοσης), Hemert, Jano van (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Σειρά:Studies in Computational Intelligence, 153
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Theory and Methodology
  • An Evolutionary Algorithm for the Solution of Two-Variable Word Equations in Partially Commutative Groups
  • Determining Whether a Problem Characteristic Affects Heuristic Performance
  • Performance and Scalability of Genetic Algorithms on NK-Landscapes
  • Engineering Stochastic Local Search Algorithms: A Case Study in Estimation-Based Local Search for the Probabilistic Travelling Salesman Problem
  • Hybrid Approaches
  • A Lagrangian Decomposition/Evolutionary Algorithm Hybrid for the Knapsack Constrained Maximum Spanning Tree Problem
  • A Hybrid Optimization Framework for Cutting and Packing Problems
  • A Hybrid Genetic Algorithm for the DNA Fragment Assembly Problem
  • A Memetic-Neural Approach to Discover Resources in P2P Networks
  • Constrained Problems
  • An Iterative Heuristic Algorithm for Tree Decomposition
  • Search Intensification in Metaheuristics for Solving the Automatic Frequency Problem in GSM
  • Contraction-Based Heuristics to Improve the Efficiency of Algorithms Solving the Graph Colouring Problem
  • Scheduling
  • Different Codifications and Metaheuristic Algorithms for the Resource Renting Problem with Minimum and Maximum Time Lags
  • A Simple Optimised Search Heuristic for the Job Shop Scheduling Problem
  • Parallel Memetic Algorithms for Independent Job Scheduling in Computational Grids
  • Routing and Travelling Salesman Problems
  • Reducing the Size of Travelling Salesman Problem Instances by Fixing Edges
  • Algorithms for Large Directed Capacitated Arc Routing Problem Instances
  • An Evolutionary Algorithm with Distance Measure for the Split Delivery Capacitated Arc Routing Problem
  • A Permutation Coding with Heuristics for the Uncapacitated Facility Location Problem.