Optimization of control parameters for genetic algorithms
IEEE Transactions on Systems, Man and Cybernetics
Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
A classifier based system for discovering scheduling heuristics
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Optimal determination of user-oriented clusters: an application for the reproductive plan
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
The necessity for adaptation in modified Boolean document retrieval systems
Information Processing and Management: an International Journal - The Potential for Improvments in Commerical Document Retrieval Systems
Probabilistic and genetic algorithms in document retrieval
Communications of the ACM
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
A neural network for probabilistic information retrieval
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
Biases in the crossover landscape
Proceedings of the third international conference on Genetic algorithms
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Query modification using genetic algorithms in vector space models
International Journal of Expert Systems
Journal of the American Society for Information Science
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Comparing representations in Chinese information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Journal of the American Society for Information Science
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Artificial Intelligence Review
A smart itsy bitsy spider for the web
Journal of the American Society for Information Science - Special topic issue: artificial intelligence techniques for emerging information systems applications
A fuzzy genetic algorithm approach to an adaptive information retrieval agent
Journal of the American Society for Information Science
Applying genetic algorithms to query optimization in document retrieval
Information Processing and Management: an International Journal
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Document organization using Kohonen's algorithm
Information Processing and Management: an International Journal
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Order-based fitness functions for genetic algorithms applied to relevance feedback
Journal of the American Society for Information Science and Technology
Genetic algorithms in relevance feedback: a second test and new contributions
Information Processing and Management: an International Journal
Improving the learning of Boolean queries by means of a multiobjective IQBE evolutionary algorithm
Information Processing and Management: an International Journal
On linear mixture of expert approaches to information retrieval
Decision Support Systems
Re-examining the effects of adding relevance information in a relevance feedback environment
Information Processing and Management: an International Journal
A Comparison of Genetic Algorithms for Optimizing Linguistically Informed IR in Question Answering
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Exploiting Morphological Query Structure Using Genetic Optimisation
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Local search: A guide for the information retrieval practitioner
Information Processing and Management: an International Journal
Improving the learning of Boolean queries by means of a multiobjective IQBE evolutionary algorithm
Information Processing and Management: an International Journal
Structure of morphologically expanded queries: A genetic algorithm approach
Data & Knowledge Engineering
Improving query expansion with stemming terms: a new genetic algorithm approach
EvoCOP'08 Proceedings of the 8th European conference on Evolutionary computation in combinatorial optimization
A web personalized service based on dual GAs
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Using genetic algorithms for query reformulation
FDIA'07 Proceedings of the 1st BCS IRSG conference on Future Directions in Information Access
GA on IR: Study the Effectiveness of the Developed Fitness Function on IR
International Journal of Artificial Life Research
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There have been recent applications of genetic algorithms to information retrieval, mostly with respect to relevance feedback. Nevertheless, they are yet to be evaluated in a way that allows them to be compared with each other and with other relevance feedback techniques. We here implement the different genetic algorithms that have been applied in the literature together with some of our own variations, and evaluate them using the residual collection method described by Salton in 1990 for the evaluation of relevance feedback techniques. We compare the results with those of the Ide dec-hi method, which is one of the traditional methods that yields the best results.