A multi-objective genetic algorithm for jacket optimization
Author:
Affiliation:
1. Norwegian University of Science and Technology
2. Carnegie Mellon University
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3449726.3463150
Reference27 articles.
1. D. Antipov M. Buzdalov and B. Doerr. 2020. First Steps Towards a Runtime Analysis When Starting with a Good Solution. In Parallel Problem Solving from Nature (PPSN XVI). Leiden The Netherlands 560--573. D. Antipov M. Buzdalov and B. Doerr. 2020. First Steps Towards a Runtime Analysis When Starting with a Good Solution. In Parallel Problem Solving from Nature (PPSN XVI). Leiden The Netherlands 560--573.
2. J. Burak. 2020. Multi-objective Genetic Algorithm for Engineering Design Optimization. Master's thesis. NTNU Trondheim Norway. J. Burak. 2020. Multi-objective Genetic Algorithm for Engineering Design Optimization. Master's thesis. NTNU Trondheim Norway.
3. A fast and elitist multiobjective genetic algorithm: NSGA-II
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