Future paths for integer programming and links to artificial intelligence
Computers and Operations Research - Special issue: Applications of integer programming
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Annals of Operations Research - Special issue on Tabu search
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms and tabu search: hybrids for optimization
Computers and Operations Research - Special issue on genetic algorithms
An introduction to genetic algorithms
An introduction to genetic algorithms
A tabu search algorithm for the vehicle routing problem
Computers and Operations Research
Ant algorithms for discrete optimization
Artificial Life
The Simple Genetic Algorithm: Foundations and Theory
The Simple Genetic Algorithm: Foundations and Theory
Principles of Mobile Communication
Principles of Mobile Communication
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Cellular Radio and Personal Communications: Selected Readings
Cellular Radio and Personal Communications: Selected Readings
Industrial Applications of Genetic Algorithms
Industrial Applications of Genetic Algorithms
Cell Planning for Wireless Communications
Cell Planning for Wireless Communications
The Ant System Applied to the Quadratic Assignment Problem
IEEE Transactions on Knowledge and Data Engineering
An Island Model Based Ant System with Lookahead for the Shortest Supersequence Problem
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Location Management in Mobile Computing
AICCSA '01 Proceedings of the ACS/IEEE International Conference on Computer Systems and Applications
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Locating strategies for personal communication networks, a novel tracking strategy
IEEE Journal on Selected Areas in Communications
A Simulated Annealing Approach for Mobile Location Management
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 6 - Volume 07
A Comprehensive Overview of the Applications of Artificial Life
Artificial Life
Clustering techniques for dynamic mobility management
Proceedings of the 4th ACM international workshop on Mobility management and wireless access
Computer Networks: The International Journal of Computer and Telecommunications Networking
A Simulated Annealing approach for mobile location management
Computer Communications
Clustering techniques for dynamic location management in mobile computing
Journal of Parallel and Distributed Computing
Artificial life techniques for load balancing in computational grids
Journal of Computer and System Sciences
New research in nature inspired algorithms for mobility management in GSM networks
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
Differential evolution for solving the mobile location management
Applied Soft Computing
Solving the reporting cells problem using a scatter search based algorithm
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
A combined genetic-neural algorithm for mobility management
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Swarm Intelligence Approaches for Grid Load Balancing
Journal of Grid Computing
Evolutionary algorithms for location area management
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
Soft computing approach for location management problem in wireless mobile environment
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part II
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Location management is a very important and complex problem in today's mobile computing environments. There is a need to develop algorithms that could capture this complexity yet can be easily implemented and used to solve a wide range of location management scenarios. Artificial life techniques have been used to solve a wide range of complex problems in recent times. The power of these techniques stems from their capability in searching large search spaces, which arise in many combinatorial optimization problems, very efficiently. This paper compares several well-known artificial life techniques to gauge their suitability for solving location management problems. Due to their popularity and robustness, a Genetic algorithm (GA), tabu search (TS), and ant colony algorithm (ACA) are used to solve the reporting cells planning problem. In the reporting cell location management scheme, some cells in the network are designated as reporting cells; mobile terminals update their positions (location update) upon entering one of these reporting cells. To create such a planner, a GA, TS, as well as several different AC algorithms are implemented. The effectiveness of each algorithm is shown for a number of test problems.