Hybrid Evolutionary Algorithm with Adaptive Crossover, Mutation and Simulated Annealing Processes to Project Scheduling - researchr publication related

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Virginia Yannibelli, Analía Amandi. Hybrid Evolutionary Algorithm with Adaptive Crossover, Mutation and Simulated Annealing Processes to Project Scheduling. In Konrad Jackowski, Robert Burduk, Krzysztof Walkowiak, Michal Wozniak, Hujun Yin, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2015 - 16th International Conference Wroclaw, Poland, October 14-16, 2015, Proceedings. Volume 9375 of Lecture Notes in Computer Science, pages 340-351, Springer, 2015. [doi]

The following publications are possibly variants of this publication:

Collaborative Learning Team Formation Considering Team Roles: An Evolutionary Approach based on Adaptive Crossover, Mutation and Simulated AnnealingVirginia Yannibelli, Analía Amandi. rcs, 147(4):61-74, 2018. [doi]

Scheduling Projects by a Hybrid Evolutionary Algorithm with Self-Adaptive ProcessesVirginia Yannibelli, Analía Amandi. micai 2015: 401-412 [doi]

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