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| date = 2004
| publisher = Addison Wesley
| isbn = 0-321-11617-8}}</ref>. The algorithm is proposed by Shumeet Baluja in 1994. The algorithm is simpler than standard genetic algorithm, and in many cases better results than standard genetic algorithm<ref name="Baluja1">{{Citation
| last1 = Baluja | first1 = Shumeet
| title = Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning
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| place = Pittsburgh, PA
| url = http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.8554
}}</ref><ref name="Baluja2">{{Citation
| last1 = Baluja | first1 = Shumeet
| last2 = Caruana | first2 = Rich
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| pages = 38-46
| url = http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.44.5424
}}</ref><ref name="Baluja3">{{Citation
| last1 = Baluja | first1 = Shumeet
| title = An Empirical Comparison of Seven Iterative and Evolutionary Function Optimization Heuristics
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