Future paths for integer programming and links to artificial intelligence
Computers and Operations Research - Special issue: Applications of integer programming
Simulated annealing & boltzmann Machines: a stochastic approach to combinatorialoptimization & neural computing
Introduction to algorithms
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Avoiding local optima in the p-hub location problem using tabu search and grasp
Annals of Operations Research - Special issue on locational decisions
Modern heuristic techniques for combinatorial problems
Combinatorial optimization
Computers and Operations Research
On maximum clique problems in very large graphs
External memory algorithms
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
Tabu Search
Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
Hybrid Genetic Algorithms for Telecommunications Network Back-Up Routeing
BT Technology Journal
Successful Application of Genetic Algorithms to Network Design and Planning
BT Technology Journal
Tabu Search for Frequency Assignment in Mobile Radio Networks
Journal of Heuristics
Design of Stacked Self-Healing Rings Using a Genetic Algorithm
Journal of Heuristics
Designing Least-Cost Survivable Wireless Backhaul Networks
Journal of Heuristics
Probability Distribution of Solution Time in GRASP: An Experimental Investigation
Journal of Heuristics
Cooperative Parallel Tabu Search for Capacitated Network Design
Journal of Heuristics
Massive Quasi-Clique Detection
LATIN '02 Proceedings of the 5th Latin American Symposium on Theoretical Informatics
A Parallel GRASP Heuristic for the 2-Path Network Design Problem (Research Note)
Euro-Par '02 Proceedings of the 8th International Euro-Par Conference on Parallel Processing
Grasp and Path Relinking for 2-Layer Straight Line Crossing Minimization
INFORMS Journal on Computing
Reactive GRASP: An Application to a Matrix Decomposition Problem in TDMA Traffic Assignment
INFORMS Journal on Computing
A Hybrid GRASP with Perturbations for the Steiner Problem in Graphs
INFORMS Journal on Computing
Journal of Parallel and Distributed Computing - Special issue on wireless and mobile ad hoc networking and computing
Solving the error correcting code problem with parallel hybrid heuristics
Proceedings of the 2004 ACM symposium on Applied computing
A Hybrid Heuristic for the p-Median Problem
Journal of Heuristics
Stochastic Local Search: Foundations & Applications
Stochastic Local Search: Foundations & Applications
Parallel Genetic Algorithms for Third Generation Mobile Network Planning
PARELEC '04 Proceedings of the international conference on Parallel Computing in Electrical Engineering
Networks
Genetic algorithms, path relinking, and the flowshop sequencing problem
Evolutionary Computation
Planning UMTS base station location: optimization models with power control and algorithms
IEEE Transactions on Wireless Communications
A probabilistic heuristic for a computationally difficult set covering problem
Operations Research Letters
QoS Multicast Routing Algorithms Based on Tabu Search with Hybrid Candidate List
FGIT '09 Proceedings of the 1st International Conference on Future Generation Information Technology
An effective candidate list strategy for tabu search based QoS multicast routing
SoftCOM'09 Proceedings of the 17th international conference on Software, Telecommunications and Computer Networks
QoS-based cooperative algorithm for integral multi-commodity flow problem
Computer Communications
Soil-structure interaction: Parameters identification using particle swarm optimization
Computers and Structures
A hybrid data mining GRASP with path-relinking
Computers and Operations Research
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Recent years have witnessed huge advances in computer technology and communication networks, entailing hard optimization problems in areas such as network design and routing. Metaheuristics are general high-level procedures that coordinate simple heuristics and rules to find good approximate solutions to computationally difficult combinatorial optimization problems. They are among the most effective solution strategies for solving optimization problems in practice and have been applied to a very large variety of problems in telecommunications, computer communications, and network design and routing. In this paper, we review the principles associated with some of the main metaheuristics and we give templates for basic implementations of them: simulated annealing, tabu search, GRASP, VNS, genetic algorithms, and path-relinking. The main strategies underlying the development of parallel implementations of metaheuristics are also reviewed. Finally, we present an account of some successful applications of metaheuristics to optimization problems in telecommunications, computer communications, and network design and routing.