Optimization of control parameters for genetic algorithms
IEEE Transactions on Systems, Man and Cybernetics
An introduction to genetic algorithms
An introduction to genetic algorithms
Bounds for the frequency assignment problem
Discrete Mathematics
Artificial intelligence: a new synthesis
Artificial intelligence: a new synthesis
Dynamic resource assignment strategies for PCS data services
Information Sciences: an International Journal
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The Mobile Communications Handbook
The Mobile Communications Handbook
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Tabu Search for Frequency Assignment in Mobile Radio Networks
Journal of Heuristics
Diversity-Guided Evolutionary Algorithms
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
A hybrid search algorithm with heuristics for resource allocation problem
Information Sciences—Informatics and Computer Science: An International Journal
Optimum OVSF code reassignment in wideband CDMA forward radio link
Information Sciences: an International Journal
Forking genetic algorithms: Gas with search space division schemes
Evolutionary Computation
A preemptive channel allocation scheme for multimedia traffic in mobile wireless networks
Information Sciences: an International Journal
Channel assignment schemes for cellular mobile telecommunication systems: A comprehensive survey
IEEE Communications Surveys & Tutorials
Numerical solution of a system of fuzzy polynomials by fuzzy neural network
Information Sciences: an International Journal
A genetic algorithm calibration method based on convergence due to genetic drift
Information Sciences: an International Journal
Path planning on a cuboid using genetic algorithms
Information Sciences: an International Journal
Information Sciences: an International Journal
Self-organizing genetic algorithm based tuning of PID controllers
Information Sciences: an International Journal
An Adaptive MO-HGA for Resource-Constrained Transport Task Scheduling
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
A hybrid genetic algorithm with the Baldwin effect
Information Sciences: an International Journal
Hybrid cross-entropy method/Hopfield neural network for combinatorial optimization problems
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Mutation Hopfield neural network and its applications
Information Sciences: an International Journal
Information Sciences: an International Journal
Exploration and exploitation in evolutionary algorithms: A survey
ACM Computing Surveys (CSUR)
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This paper presents a new genetic algorithm (GA) with good convergence properties and a remarkable low computational load. Such features are achieved by on-line tuning up the probabilities of mutation and crossover on the basis of the analysis of the individuals' fitness entropy. This way, a brand new method to control and adjust the population diversity is obtained. The resulting GA attains quality solutions, thus offering an interesting alternative to other global search techniques, such as simulated annealing, Tabu search and neural networks, as well as to standard GAs. The new algorithm is applied to solve the problem of frequency reuse in mobile cellular communication systems, where the main aim is to obtain a conflict-free channel assignment among the cells such that the resulting bandwidth is close to the minimum channel span required for the whole network. The algorithm performance has been tested and compared by making use of a selection of the most well-known benchmark instances; optimal bandwidth solutions have been achieved within a reasonable computation time.