Noise, sampling, and efficient genetic algorthms
Noise, sampling, and efficient genetic algorthms
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The Design of Innovation: Lessons from and for Competent Genetic Algorithms
The Design of Innovation: Lessons from and for Competent Genetic Algorithms
A Survey of Optimization by Building and Using Probabilistic Models
Computational Optimization and Applications
Proceedings of the 5th International Conference on Genetic Algorithms
Generalized Convergence Models for Tournament- and (mu, lambda)-Selection
Proceedings of the 6th International Conference on Genetic Algorithms
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
The gambler's ruin problem, genetic algorithms, and the sizing of populations
Evolutionary Computation
Evaluation relaxation using substructural information and linear estimation
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Analyzing active interactive genetic algorithms using visual analytics
Proceedings of the 8th annual conference on Genetic and evolutionary computation
New Frontiers of Reverse Engineering
FOSE '07 2007 Future of Software Engineering
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Do not match, inherit: fitness surrogates for genetics-based machine learning techniques
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Interactive evolution of XUL user interfaces
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Graph-theoretic measure for active iGAs: interaction sizing and parallel evaluation ensemble
Proceedings of the 10th annual conference on Genetic and evolutionary computation
ASAGA: an adaptive surrogate-assisted genetic algorithm
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Speeding online synthesis via enforced selecto-recombination
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Linkage Learning, Rule Representation, and the Χ-Ary Extended Compact Classifier System
Learning Classifier Systems
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
Extracting user preferences by GTM for aiGA weight tuning in unit selection text-to-speech synthesis
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Interactive ec control of synthesized timbre
Evolutionary Computation
Psychological preference-based optimization framework on the nurse scheduling problem
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Large population size IGA with individuals' fitness not assigned by user
Applied Soft Computing
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part II
Interactive evolution for the procedural generation of tracks in a high-end racing game
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Analyzing human gaze path during an interactive optimization task
Proceedings of the 2010 workshop on Eye gaze in intelligent human machine interaction
Subjective natural language problems: motivations, applications, characterizations, and implications
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Functional brain imaging with multi-objective multi-modal evolutionary optimization
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Interactive evolutionary computation framework and the on-chance operator for product design
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
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One of the daunting challenges of interactive genetic algorithms (iGAs)---genetic algorithms in which fitness measure of a solution is provided by a human rather than by a fitness function, model, or computation---is user fatigue which leads to sub-optimal solutions. This paper proposes a method to combat user fatigue by augmenting user evaluations with a synthetic fitness function. The proposed method combines partial ordering concepts, notion of non-domination from multiobjective optimization, and support vector machines to synthesize a fitness model based on user evaluation. The proposed method is used in an iGA on a simple test problem and the results demonstrate that the method actively combats user fatigue by requiring 3--7 times less user evaluation when compared to a simple iGA.