Using Genetic Algorithms for Concept Learning
Machine Learning - Special issue on genetic algorithms
Swarm intelligence
Artficial Immune Systems and Their Applications
Artficial Immune Systems and Their Applications
Computational Intelligence: An Introduction
Computational Intelligence: An Introduction
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Biologically inspired cognitive radio engine model utilizing distributed genetic algorithms for secure and robust wireless communications and networking
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
Cognitive engine implementation for wireless multicarrier transceivers
Wireless Communications & Mobile Computing - Cognitive Radio, Software Defined Radio And Adaptive Wireless Systems
Journal of Global Optimization
International Journal of RF and Microwave Computer-Aided Engineering
Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
Power Allocation in OFDM-Based Cognitive Networks with Interference
ICCIT '08 Proceedings of the 2008 Third International Conference on Convergence and Hybrid Information Technology - Volume 01
Design of Cognitive Radio Wiereless Parameters Based on Multi-objective Immune Genetic Algorithm
CMC '09 Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 01
Cognitive radio adaptation using particle swarm optimization
Wireless Communications & Mobile Computing
Design of Cognitive Radio Node Engine Based on Genetic Algorithm
ICIE '09 Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 02
Cognitive Radio Parameter Adaptation in Multicarrier Environment
ICWMC '09 Proceedings of the 2009 Fifth International Conference on Wireless and Mobile Communications
Medical image segmentation using genetic algorithms
IEEE Transactions on Information Technology in Biomedicine
Cat Swarm Optimization for Clustering
SOCPAR '09 Proceedings of the 2009 International Conference of Soft Computing and Pattern Recognition
Adaptive transmission in cognitive radio networks
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Using differential evolution for a subclass of graph theory problems
IEEE Transactions on Evolutionary Computation
Evolutionary schemes for cognitive radio adaptation
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
A novel cognitive radio adaptation for wireless multicarrier systems
IEEE Communications Letters
Genetic algorithm-based optimization for cognitive radio networks
Sarnoff'10 Proceedings of the 33rd IEEE conference on Sarnoff
A PAPR reduction method based on artificial bee colony algorithm for OFDM signals
IEEE Transactions on Wireless Communications
Cognitive Radio Decision Engine Based on Priori Knowledge
PAAP '10 Proceedings of the 2010 3rd International Symposium on Parallel Architectures, Algorithms and Programming
Transmission loss reduction based on FACTS and bacteria foraging algorithm
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
CHINACOM '11 Proceedings of the 2011 6th International ICST Conference on Communications and Networking in China
A Statistical Method for Reconfiguration of Cognitive Radios
IEEE Wireless Communications
A Stochastic Approach to Image Retrieval Using Relevance Feedback and Particle Swarm Optimization
IEEE Transactions on Multimedia
A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation
IEEE Transactions on Evolutionary Computation
Achievable rates in cognitive radio channels
IEEE Transactions on Information Theory
Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency
IEEE Communications Magazine
Exploiting location awareness toward improved wireless system design in cognitive radio
IEEE Communications Magazine
Multiuser OFDM with adaptive subcarrier, bit, and power allocation
IEEE Journal on Selected Areas in Communications
Transmit power adaptation for multiuser OFDM systems
IEEE Journal on Selected Areas in Communications
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Low-Complexity Adaptive Transmission for Cognitive Radios in Dynamic Spectrum Access Networks
IEEE Journal on Selected Areas in Communications
Cognitive Radio Engine Design Based on Ant Colony Optimization
Wireless Personal Communications: An International Journal
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One of the important features of the cognitive radio engine is to adapt the parameters of radio to fulfill certain objectives in a time varying wireless environment. In order to achieve this adaptation, six evolutionary algorithms are employed for optimizing the predefined fitness functions in the radio environment. The performance of genetic algorithm, particle swarm optimization, differential evolution, bacterial foraging optimization, artificial bee colony optimization and cat swarm optimization algorithm in different modes of operation are studied in detail. Each algorithm is tested in single and multicarrier communication system in order to acknowledge the advantage of multicarrier communication systems in wireless environment. The spectral interference introduced by the cognitive user into the primary user's band and that introduced by the primary user into the cognitive user's band are also investigated. The performance of different algorithms are compared using convergence characteristics and four statistical metrics.